Industrial Engineer Jobs in Morocco

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br> Company culture : <p><strong>Alten Maroc </strong>is defined by a deeply <strong>collaborative</strong> culture, focused on people, trust, and strong team support, with hands-on managers who guide and develop talent.<br> This environment is enhanced by a strong drive for <strong>innovation</strong>, encouraging creativity, initiative, and experimentation across projects.<br> A structured and disciplined organization ensures <strong>efficiency</strong>, rigor, and quality in engineering delivery.<br> <strong>Performance</strong> and ambition are part of the culture as well, supporting collective success while maintaining a positive and caring atmosphere. </p><br><br> <br> Job : <p>We are seeking a skilled <strong>Test and Validation Engineer</strong> to join our team, focusing on <strong>Hardware-in-the-Loop (HIL)</strong> testing for embedded systems within the automotive sector. The successful candidate will be responsible for ensuring the performance, reliability, and compliance of automotive electronic control units (ECUs) and systems through rigorous validation and testing on HIL benches :</p><br><br><ul><li>Design and develop test cases to validate automotive ECUs and subsystems on HIL platforms.</li><li>Execute validation campaigns to ensure compliance with system requirements and specifications.</li><li>Troubleshoot and resolve issues with HIL benches, ensuring smooth testing operations.</li><li>Regularly update simulation models and test scenarios to reflect evolving system requirements.</li><li>Develop automated test scripts using tools like Python, CAPL, or MATLAB to streamline validation processes.</li><li>Integrate test cases into Continuous Integration/Continuous Deployment (CI/CD) pipelines for efficient testing workflows.</li><li>Analyze test results to identify issues in software or hardware performance.</li><li>Provide detailed test reports, including test coverage, defect trends, and validation status.</li><li>Validate communication protocols (e.g., CAN, LIN, FlexRay, Ethernet) and system interactions.</li><li>Ensure that all testing activities comply with automotive standards such as ISO 26262, ASPICE, and relevant OEM guidelines.</li></ul> <br> Required profile : <p>With a Master's degree (BAC+5) from an engineering school or university specializing in embedded systems, you have successful experience in test and validation on HIL benches. Knowledge of automotive functionalities is required.</p><br><br><ul><li>Hands-on experience with HIL testing tools such as dSPACE, Vector CANoe, NI VeriStand, or ETAS.</li><li>Proficiency in automotive communication protocols (CAN, LIN, UDS, FlexRay) and related tools.</li><li>Strong knowledge of test scripting languages like Python, CAPL, or MATLAB/Simulink.</li><li>Familiarity with electrical and electronic systems in vehicles, including sensors, actuators, and ECUs.</li><li>Experience in developing and executing validation test plans.</li><li>Ability to analyze system behavior and diagnose root causes of defects.</li><li>Strong english communication skills</li></ul> <br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Arrow Enterprise Computing Solutions (ECS), a part of Arrow Electronics, brings innovative IT solutions to market to solve complex business challenges. We deliver value-added distribution, business consulting and channel enablement services to leading technology manufacturers and their channel partners. We help businesses grow faster, operate efficiently and transform in a dynamic market.</p><p><br></p><p>Purpose of the Role</p><p>The Analytics Product Engineer ensures that BIAR s ( B usiness I ntelligence, A nalytics &amp; R eporting) analytics products are built on scalable, consistent, and reusable data foundations. This role bridges business requirements and IT-delivered data structures by translating analytical needs into clear data specifications and designing robust semantic models for analytics consumption. The role complements IT s ownership of ETL and core data modeling by focusing on analytical usability, consistency, and product quality.</p><p>Key Responsibilities</p><p>Analytics Data &amp; Model Design</p><ul><li>Design and maintain reusable, certified datasets for Power BI and analytics solutions</li><li>Define and implement best practices for analytics data modeling</li><li>Ensure consistent KPI logic and semantic definitions across products</li><li>Optimize performance and usability of analytical datasets</li></ul><p>Collaboration with IT</p><ul><li>Translate analytics requirements into structured data needs</li><li>Provide input and feedback on IT-delivered data models from an analytics perspective</li><li>Support integration of MDM (Master Data Management) structures into analytics layers</li></ul><p>Standardization &amp; Reusability</p><ul><li>Promote modular, scalable dataset design instead of report-by-report development</li><li>Reduce duplication of calculations and KPI definitions</li><li>Establish quality standards for analytics data products</li></ul><p>MDM &amp; Governance Alignment</p><ul><li>Ensure master data is consistently reflected in analytics products</li><li>Align closely with Data Governance on glossary definitions and standards</li><li>Support implementation of certified datasets and trusted data sources</li></ul><p>Enablement &amp; Mentoring</p><ul><li>Guide BIAR analysts in modeling best practices</li><li>Raise overall technical maturity within BIAR</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>3+ years experience in BI and Databricks, analytics engineering, or data modeling</li><li>Strong expertise in Power BI datasets and semantic modeling</li><li>Solid understanding of dimensional modeling concepts</li><li>Experience collaborating with centralized IT data teams</li><li>Structured, quality-focused mindset</li><li>Ability to explain technical concepts to business stakeholders</li></ul><p>Success Measures (First 12 Months)</p><ul><li>Establishment of certified, reusable datasets for key domains</li><li>Reduced duplication of KPI logic across reports</li><li>Improved performance and scalability of analytics solutions</li><li>Clear working model established with IT and MDM stakeholders</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><font dir="auto" ><font dir="auto" >Job Description: As a Senior Data Engineer, your role will be to design, code, test, and deploy data ingestion, processing, modeling, and valorization pipelines so that this data can be presented and visualized through web applications, using modern technologies. Your main responsibilities will include: Working in Data and Cloud environments, particularly GCP; Leveraging BigQuery and advanced SQL on large volumes of data; Integrating new LLM technologies into your development routine; Managing real-time streams with Pub/Sub; Automating data workflows via GitLab CI/CD and Docker Compose; Versioning code with Git; Collaborating in an agile environment (Scrum); and Data modeling and preparation: designing optimized pipelines in BigQuery, ensuring the quality, reliability, and consistency of analyses. Respect deadlines while maintaining high standards of quality and excellence. Communicate clearly and effectively in writing and orally in French for smooth interactions with the business and teams. Analyze situations and propose appropriate solutions while identifying areas for improvement. Actively collaborate with team members, share knowledge and foster a team spirit to achieve common goals. Apply a continuous improvement mindset to optimize practices and results.</font></font></p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><font dir="auto" ><font dir="auto" >Company Description: At Devoteam, we are Digital Transformakers. Respect, honesty, and passion drive our team every day. Together, we help our clients win the digital battle: from consulting and implementing innovative technologies to ensuring user adoption. Cloud, Cybersecurity, Data, DevOps, Fullstack Development, Low Code, and RPA hold no secrets for our team! Our 10,000+ employees are certified, trained, and supported daily to take on new and innovative challenges. A leader in Cloud, Cybersecurity, and Data in EMEA, the Devoteam Group achieved a revenue of €1.036 billion in 2022 and aims to double it within the next 5 years. Devoteam Morocco, a leading player in IT expertise for over 30 years (350+ consultants), is accelerating its growth by developing its nearshore expertise activities to meet the needs of our French, European, and Middle Eastern clients. Are you ready to join us and take on this challenge together?</font></font></p><p><font dir="auto" ><font dir="auto" >Qualifications For this position, you will need: Proficiency in DBT for data transformation and orchestration. Significant experience in data modeling and implementation of semantic layers with Looker/LookML. Knowledge of machine learning and Agentic. Experience with the Google suite.</font></font></p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>propos de l offre d emploi : Capgemini Engineering, leader mondial des services d'ing nierie, rassemble des quipes d'ing nieurs, de scientifiques et d'architectes pour aider les entreprises les plus innovantes dans le monde lib rer leur potentiel. Des voitures autonomes aux robots qui sauvent des vies, nos experts en technologies digitales et logicielles sortent des sentiers battus en fournissant des services uniques de R&amp;D et d'ing nierie dans tous les secteurs d'activit . Rejoignez-nous pour une carri re pleine d'opportunit s, o vous pouvez faire la diff rence et o aucun jour ne se ressemble.</p><p>propos de l'offre : Nous recrutons un Vehicle Test Management Engineer Junior (Bac+5, avec une exp rience de 0 2 ans) pour rejoindre notre quipe Casablanca. Le candidat participera la planification, au suivi et la coordination des essais ADAS , en collaboration avec les diff rentes parties prenantes du projet (PPLs, Test Leaders, quipes d ex cution, SEG, etc.). Il sera charg d'assurer la bonne pr paration, organisation et le pilotage des campagnes d essais, tout en veillant leur bon d roulement et leur r alisation dans le respect des objectifs, des d lais et des exigences qualit . Gr ce une coordination efficace entre les quipes, il contribuera la r ussite des activit s de validation tout au long du cycle d essai.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>Comp tences techniques</h2><ul><li>Bonne connaissance des processus de gestion et de planification des essais ADAS</li><li>Capacit coordonner efficacement les diff rentes parties prenantes d un projet (PPLs, Test Leaders, quipes d ex cution, SEG, etc.).</li><li>Connaissance des syst mes ADAS (Advanced Driver Assistance Systems) et de leur environnement de validation.</li><li>Ma trise des m thodes de suivi de projet , de reporting et de pilotage des activit s de test.</li><li>Capacit assurer le suivi des campagnes d essais et garantir leur bonne ex cution de la phase de pr paration jusqu leur cl ture</li><li>Connaissance du cycle de vie produit et des processus de d veloppement produit.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>AVL Maroc SARL AU offers a job in Morocco (MA) as Emission Calibration Engineer (Casablanca)</p><p>YOUR RESPONSIBILITIES: Calibrate engine control systems (e.g., fuel injection, air management, EGR, aftertreatment) to reduce exhaust emissions. Conduct engine and vehicle testing (dyno, road, lab) to validate emissions performance. Analyze test data and adjust calibration to meet regulatory standards (e.g., Euro, EPA). Support certification processes and ensure compliance with environmental regulations. Collaborate with cross-functional teams (powertrain, software, validation). Troubleshoot emissions-related issues and optimize performance trade-offs.</p><p>We offer : Be part of our pioneering work together with our customers we shape the future of mobility! Our technical and personal onboarding concept will help you to hop on easily. We support lifelong learning: educate yourself, apply your knowledge and get creative. Mobile working, flexible worktime and modern workplaces are part of our DNA. We are deeply rooted in our values: respectful communication, care, openness, passion, and trust Cafe and restaurant in the office building Employee events If you have these qualifications and are looking for a new challenge, we encourage you to apply to discuss it further! Interested? If so, please use our online application tool to send your application to AVL!</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Degree in mechanical, automotive, or related engineering field. knowledge of automotive diagnostics (OBD, Trouble codes) Understanding of ECU systems. Knowledge of internal combustion engines, combustion processes, and emission control systems. Experience with calibration tools (e.g., INCA, CANape , MDA,CRETA,Optisim ) and data analysis. Understanding of emissions regulations and testing procedures. Good analytical and problem-solving skills. Experience in diagnostics, validation, or calibration is a plus Driver License B, AW18.</p><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company culture : <p><strong>Locamed</strong> embraces a <strong>largely cooperation-driven culture</strong>, placing people, trust and teamwork at the heart of its organization. The company favors a close management style focused on support, empowerment and strong professional relationships. This collaborative foundation is complemented by a <strong>notable innovation component</strong>, encouraging initiative, creativity and adaptability. Competitive and organizational aspects remain secondary, helping structure operations and support performance objectives. </p><br><br> <br> Job : <p>Join a dynamic company in the <b>Medical Equipment</b> sector as a <b>Sales Engineer in elevators, stairs, and hoists</b>. This position based in <b>Rabat</b> offers you a unique opportunity to contribute to our growth.</p><br><br><p>Your main mission will be to develop and manage a client portfolio, ensuring the promotion and sale of our innovative solutions. You will be the essential link between our clients' needs and our technical expertise.</p><br><br><p>Your responsibilities will include:</p><br><br><ul><li>Actively prospecting new clients and developing turnover in your geographical area.</li><li>Analyzing technical needs and proposing suitable solutions.</li><li>Developing and presenting personalized commercial offers.</li><li>Ensuring client file follow-up, from order placement to delivery.</li><li>Representing the company at professional events.</li><li>Collaborating closely with technical teams and after-sales service to ensure customer satisfaction.</li></ul> <br> Required profile : <p>A degree of <b>Bac +3</b> (equivalent to a Bachelor's degree) is required, ideally in <b>Sales, Marketing, or Export</b>.</p><br><br><p>Professional experience of <b>3 to 5 years</b> in a similar role, ideally in selling technical solutions, is highly desired.</p><br><br><p>To excel in this role, it is essential to possess:</p><br><br><ul><li>Excellent <b>negotiation</b> and <b>sales</b> skills.</li><li>A solid understanding of the <b>technical</b> aspects of the products.</li><li>A high degree of autonomy and a strong results-oriented mindset.</li><li>The ability to establish and maintain trusting relationships with a diverse clientele.</li><li>Good interpersonal skills and excellent oral and written communication.</li><li>Proficiency in computer tools (Office Suite, CRM).</li></ul><p>If you are passionate about sales, results-oriented, and wish to join a rapidly expanding organization, do not hesitate.</p><br><br> <br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Translate business and client requirements into data science approaches, AI workflows, and scalable technical solutions. Design, prototype, and productionize machine learning, LLM, and generative AI solutions with a focus on business value, reliability, and usability. Own the architecture of Retrieval-Augmented Generation (RAG) pipelines, including document processing, vectorization, semantic search, evaluation, and query optimization for enterprise use cases. Design and implement complex AI-powered features by integrating LLM APIs and services using frameworks such as LangChain or equivalent, with a focus on reliability, accuracy, and performance in production. Design, implement, and maintain Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and data sources, enabling context-aware and extensible AI solutions. Develop evaluation frameworks, monitoring approaches, and observability practices for LLM-powered systems to ensure quality, transparency, and continuous improvement. Apply advanced prompt engineering, embedding strategies, and vector database management techniques to improve the performance of AI solutions. Integrate AI outputs into analytical workflows, dashboards, reporting tools, and client delivery pipelines. Full-Stack Application Development: Design and contribute to the development of production-grade AI and data applications, primarily using Python and backend frameworks such as FastAPI. Build or support frontend interfaces using modern frameworks such as React, Next.js, or Vue to make AI and data products accessible to business users and clients. Collaborate with software engineers to define scalable application architectures, API standards, and integration patterns. Develop and maintain REST API integrations with third-party AI services, enterprise SaaS platforms, internal tools, and external data sources. Ensure that data science prototypes are translated into maintainable, secure, and scalable production solutions. Participate in code reviews, define technical best practices, and contribute to a high-quality engineering and data science culture. Cloud, Deployment &amp; MLOps: Support the containerization and cloud deployment of AI and data applications, preferably on Google Cloud Platform using GKE and Artifact Registry, while remaining adaptable to other cloud environments. Design and maintain CI/CD pipelines using GitHub Actions or equivalent tools to ensure reliable and repeatable releases. Apply MLOps and LLMOps practices to manage experimentation, deployment, monitoring, and continuous improvement of AI systems. Collaborate with engineering and infrastructure teams to ensure the reliability, scalability, and performance of production environments. Proactively identify performance bottlenecks in AI workflows, data pipelines, application layers, and infrastructure. Technical Leadership &amp; Collaboration: Lead applied AI and data science initiatives from discovery and prototyping through production deployment. Mentor junior data scientists, AI engineers, and developers on data science methods, AI integration, coding practices, and production readiness. Work closely with product teams, consultants, analysts, and non-technical stakeholders to ensure solutions are aligned with business needs. Define standards and best practices for AI solution design, evaluation, documentation, and delivery. Communicate complex technical concepts clearly to both technical and non-technical audiences. Qualifications: 4 to 6 years of experience in data science, AI development, applied machine learning, or related technical roles, with hands-on experience delivering production-grade AI or data products. Strong proficiency in Python, with experience using data science, machine learning, and AI libraries and frameworks. Solid full-stack development background, including experience with backend frameworks such as FastAPI and modern frontend frameworks such as React, Next.js, or Vue. Deep understanding of LLMs, RAG architectures, generative AI workflows, and production-grade AI service integration, including tools such as OpenAI, Gemini, LangChain, or equivalent. Proven experience designing and implementing Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and enterprise data sources. Experience building analytical workflows, dashboards, data pipelines, or AI-powered decision-support tools in a client delivery or enterprise context. Hands-on experience with Docker and cloud deployment on at least one major cloud platform such as GCP, AWS, Azure, or equivalent. Familiarity with container orchestration, artifact management, CI/CD pipelines, GitHub Actions, GitOps workflows, and branching strategies. Strong understanding of LLM observability, AI evaluation, performance monitoring, and production reliability practices. Demonstrated ability to lead technical initiatives, mentor junior team members, and collaborate effectively with product teams and business stakeholders. Bachelor s or Master s degree in Data Science, Computer Science, Software Engineering, Statistics, Applied Mathematics, or a related field. Preferred Skills: Experience with agentic AI frameworks such as LangGraph or similar orchestration tools for building multi-step AI workflows. Knowledge of advanced prompt engineering, vector database management, embedding model optimization, and AI evaluation techniques. Experience with MLOps or LLMOps practices, including experiment tracking, model monitoring, and AI quality evaluation. Experience with Infrastructure as Code tools such as Terraform or Pulumi. Experience designing data models, analytical pipelines, or BI/dashboard solutions. Relevant certifications such as Google Cloud Professional Data Engineer, Google Cloud Professional Machine Learning Engineer, Google Cloud Professional Developer, or similar cloud and AI credentials. What we offer: A competitive compensation and benefits package. The opportunity to lead AI, data science, and technology initiatives with real global impact. A dynamic and supportive work environment that values leadership, innovation, and your contributions. Continuous learning and professional development opportunities to propel your career forward in AI, data science, and technology. Application Process: Candidates are invited to submit a resume, cover letter, and any relevant portfolio, GitHub links, or project examples showcasing their experience in data science, AI solution development, full-stack application development, and cloud deployment. Shortlisted candidates will undergo a technical assessment and interview to demonstrate their data science expertise, AI implementation skills, full-stack capabilities, and technical leadership potential. Infomineo: Where brilliant minds meet to shape the future of business.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>4 to 6 years of experience in data science, AI development, applied machine learning, or related technical roles, with hands-on experience delivering production-grade AI or data products. Strong proficiency in Python, with experience using data science, machine learning, and AI libraries and frameworks. Solid full-stack development background, including experience with backend frameworks such as FastAPI and modern frontend frameworks such as React, Next.js, or Vue. Deep understanding of LLMs, RAG architectures, generative AI workflows, and production-grade AI service integration, including tools such as OpenAI, Gemini, LangChain, or equivalent. Proven experience designing and implementing Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and enterprise data sources. Experience building analytical workflows, dashboards, data pipelines, or AI-powered decision-support tools in a client delivery or enterprise context. Hands-on experience with Docker and cloud deployment on at least one major cloud platform such as GCP, AWS, Azure, or equivalent. Familiarity with container orchestration, artifact management, CI/CD pipelines, GitHub Actions, GitOps workflows, and branching strategies. Strong understanding of LLM observability, AI evaluation, performance monitoring, and production reliability practices. Demonstrated ability to lead technical initiatives, mentor junior team members, and collaborate effectively with product teams and business stakeholders. Bachelor s or Master s degree in Data Science, Computer Science, Software Engineering, Statistics, Applied Mathematics, or a related field.</p><p>Preferred Skills:</p><ul><li>Experience with agentic AI frameworks such as LangGraph or similar orchestration tools for building multi-step AI workflows.</li><li>Knowledge of advanced prompt engineering, vector database management, embedding model optimization, and AI evaluation techniques.</li><li>Experience with MLOps or LLMOps practices, including experiment tracking, model monitoring, and AI quality evaluation.</li><li>Experience with Infrastructure as Code tools such as Terraform or Pulumi.</li><li>Experience designing data models, analytical pipelines, or BI/dashboard solutions.</li><li>Relevant certifications such as Google Cloud Professional Data Engineer, Google Cloud Professional Machine Learning Engineer, Google Cloud Professional Developer, or similar cloud and AI credentials.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><font dir="auto" ><font dir="auto" >Job Description </font></font><div> <p><font dir="auto" ><font dir="auto" >We are looking for a GCP (Google Cloud Platform) Data Engineer to join our rapidly growing team.</font></font></p> <p><font dir="auto" ><font dir="auto" >In this key role, you will be responsible for the management, optimization and implementation of data solutions on GCP, thus contributing to strategic digital transformation projects.</font></font></p> <p><font dir="auto" ><font dir="auto" >You will work closely with architects, data scientists and development teams to build scalable, secure and high-performance data architectures.</font></font></p> <p> <strong><font dir="auto" ><font dir="auto" >Your responsibilities:</font></font></strong> </p> <ul> <li> <strong><font dir="auto" ><font dir="auto" >Design and deployment of cloud solutions</font></font></strong><font dir="auto" ><font dir="auto" > : Design, deploy and maintain robust data solutions on Google Cloud Platform (BigQuery, Cloud Storage, Dataflow, Pub/Sub, etc.).</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Data pipeline management</font></font></strong><font dir="auto" ><font dir="auto" > : Setting up and automating data integration, processing and transformation pipelines using GCP tools and associated technologies.</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Performance optimization</font></font></strong><font dir="auto" ><font dir="auto" > : Ensuring the performance, scalability and security of data infrastructures on GCP.</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Collaboration and support</font></font></strong><font dir="auto" ><font dir="auto" > : Work closely with internal teams to understand business needs and provide tailored data solutions. Provide technical support to development and data science teams.</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Technology watch</font></font></strong><font dir="auto" ><font dir="auto" > : Keeping informed of the latest trends and innovations on Google Cloud, particularly in the field of data management and machine learning.</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Data quality management</font></font></strong><font dir="auto" ><font dir="auto" > : Implement processes to ensure data quality, integrity, and security within the GCP infrastructure.</font></font></li> <li> <strong><font dir="auto" ><font dir="auto" >Automation and infrastructure as code</font></font></strong><font dir="auto" ><font dir="auto" > : Use tools like Terraform, Cloud Deployment Manager to automate the management of GCP infrastructure.</font></font></li> </ul> <p> </p></div></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"><font dir="auto" ><font dir="auto" >Qualifications </font></font></p><div> <p> </p> <ul> <li><font dir="auto" ><font dir="auto" >Knowledge of </font></font><strong><font dir="auto" ><font dir="auto" >GCP</font></font></strong><font dir="auto" ><font dir="auto" > (Google Cloud Platform) technologies such as BigQuery, Dataflow, Cloud Storage, Cloud Functions, etc.</font></font></li> </ul> <ul> <li><font dir="auto" ><font dir="auto" >Proven skill in </font></font><strong><font dir="auto" ><font dir="auto" >Python</font></font></strong><font dir="auto" ><font dir="auto" > for developing data pipelines, analyzing and manipulating data.</font></font></li> </ul> <ul> <li><font dir="auto" ><font dir="auto" >Experience with data visualization tools such as Looker, for creating dashboards and reports.</font></font></li> </ul> <ul> <li><font dir="auto" ></font><strong><font dir="auto" ><font dir="auto" >In-depth knowledge of SQL</font></font></strong><font dir="auto" ><font dir="auto" > concepts </font><font dir="auto" >and their practical implementation.</font></font></li> </ul> <ul> <li><font dir="auto" ><font dir="auto" >Ability to work with large volumes of data and optimize query performance.</font></font></li> </ul> <ul> <li><font dir="auto" ><font dir="auto" >Understanding of distributed data architectures and real-time data processing concepts.</font></font></li> </ul> <ul> <li><font dir="auto" ><font dir="auto" >Excellent written and oral </font></font><strong><font dir="auto" ><font dir="auto" >communication</font></font></strong><font dir="auto" ><font dir="auto" > : Ability to produce high-quality deliverables and reports.</font></font></li> </ul> <ul> <li> <strong><font dir="auto" ><font dir="auto" >Analytical mindset</font></font></strong><font dir="auto" ><font dir="auto" > and continuous improvement: Ability to evaluate code and its impacts, as well as to question existing solutions in order to improve them.</font></font></li> </ul> <ul> <li><font dir="auto" ><font dir="auto" >Ability to </font></font><strong><font dir="auto" ><font dir="auto" >step back and reflect</font></font></strong><font dir="auto" ><font dir="auto" > : The ability to evaluate problems objectively and propose solutions for improvement.</font></font></li> </ul> <ul> <li> <strong><font dir="auto" ><font dir="auto" >Team spirit</font></font></strong><font dir="auto" ><font dir="auto" > : Ability to collaborate effectively with team members to achieve common goals.</font></font></li> </ul> <ul> <li><font dir="auto" ><font dir="auto" >My understanding of Agilit concepts ( </font></font><strong><font dir="auto" ><font dir="auto" >Scrum</font></font></strong><font dir="auto" ><font dir="auto" > , Sprint Planning, Backlog).</font></font></li> </ul> <ul> <li><font dir="auto" ><font dir="auto" >Keen attention to detail and rigor in the design and implementation of data solutions.</font></font></li> </ul> <p> <strong><font dir="auto" ><font dir="auto" >PROFILE SOUGHT:</font></font></strong> </p> <ul> <li><font dir="auto" ><font dir="auto" >A Master's degree (Bac+5) from an engineering school or equivalent university qualification with a specialization in computer science, or equivalent significant experience.</font></font></li> </ul> <ul> <li><font dir="auto" ></font><strong><font dir="auto" ><font dir="auto" >Over 7 years</font></font></strong><font dir="auto" ><font dir="auto" > of experience </font><font dir="auto" >in </font></font><strong><font dir="auto" ><font dir="auto" >GCP</font></font></strong> </li> </ul> <ul> <li><font dir="auto" ><font dir="auto" >Experience in the retail or mass distribution sector would be an asset.</font></font></li></ul></div><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>AI-Native Software Engineer - Early Career Location: Remote — global applications welcome; please apply via the region closest to you Company: ChainGPT Type: Full-Time About ChainGPT ChainGPT is a fast-moving Web3 and AI company building products at the intersection of blockchain infrastructure, token ecosystems, and intelligent automation.<br> We value speed, ownership, clarity, and high standards.<br> Our team is made up of self-driven operators who move fast, think independently, and use cutting-edge tools to create real commercial impact.<br> We foster a transparent, collaborative, and high-performance culture where strong ideas win, autonomy is expected, and execution matters.<br> We’re building Brain by AIVM , a platform that makes enterprise AI verifiable, governed, and genuinely trustworthy.<br> We’re a small, fast-moving team working at the frontier of AI, governance, and enterprise trust.<br> At this stage, a sharp AI-native marketer can have an outsized impact on how the world sees us.<br> About the Role We’re looking for an exceptional early-career engineer who has grown up building with AI.<br> You may be fresh out of university, still studying, or entirely self-taught.<br> What matters most is raw ability, curiosity, strong technical instincts, and a genuine obsession with modern AI tooling.<br> This is a high-growth role for someone who wants to learn how a company is built from the inside while contributing to real product work from day one.<br> You’ll work closely with the founders and senior engineers, build real features and prototypes, and learn how to use AI agents to move faster than traditional teams.<br> What You’ll Do Build real features, prototypes, and demos using tools like Codex, Claude Code, and modern AI coding agents.<br> Turn ideas into working demos quickly, then help make them more reliable, scalable, and production-ready.<br> Learn how to direct, evaluate, and control AI coding agents to multiply engineering output.<br> Work closely with founders and senior engineers across product, engineering, and strategy.<br> Explore new AI development workflows and help the team move faster.<br> Contribute to a fast-moving product where experimentation, speed, and quality all matter.<br> What We Offer Work alongside the ChainGPT core team on high-impact AI and Web3 products across our ecosystem.<br> Remote-first setup with flexible hours, focused on outcomes, trust, and ownership.<br> Competitive compensation, with performance-based upside where applicable to the role.<br> Fast-moving environment with direct collaboration across all team members, including senior management, and clear accountability with no micromanagement.<br> The support to do your best work, including the tools you need, structured onboarding, and clear room to grow.<br> Company Culture and Values At ChainGPT, we value Trust, Effective Speed, Innovation, and Growth.<br> As our AI-Native Software Engineer - Early Career, you will embody these core values and have the opportunity to contribute to our culture and help drive our success.<br> Join us on this exciting journey as we shape the future of blockchain and crypto technology.<br> Additional Information: Employment Compliance and Confidentiality: All employees will be onboarded through our official payroll and HR provider, which manages employment documentation, tax withholdings, and compliance with legal requirements based on the employee’s country of residence.<br> As part of the onboarding process, each new hire is required to complete a Know Your Customer (KYC) verification, sign a Non-Disclosure Agreement (NDA), execute an employment contract, and fulfill any additional legal requirements specific to your jurisdiction.<br> This process ensures compliance, protects company information, and establishes a secure and professional employment relationship.<br> Employment Structure: The position is offered on either an employee or contractor basis, depending on the location and role.<br> Individuals will receive payment via direct deposit on a monthly basis.<br> Additional details regarding compensation, benefits, and company policies will be provided during onboarding and outlined in the official employment agreement.<br> Compensation: Salaries are paid in fiat currency via direct deposit on a monthly schedule, with payments issued on the first business day of each month.<br> This structure ensures timely and transparent compensation aligned with local financial systems.<br> Probationary Period: All new employees will undergo a 90-day probationary period, which serves as a mutual evaluation phase.<br> During this time, both the employee and ChainGPT can assess fit, performance, and long-term alignment with the role and company.<br> What We’re Looking For You build with AI tools regularly and can show us what you’ve made.<br> You have examples of projects, repos, demos, prototypes, or technical experiments.<br> You’re excited about tools like Codex, Claude Code, Cursor, AI agents, and agentic development workflows.<br> You learn by building and ship constantly.<br> You have strong technical curiosity and are willing to figure things out independently.<br> You care more about output and learning speed than titles or credentials.<br> You’re comfortable working in a fast-moving environment with real responsibility.<br> Bonus Points You’ve created content, demos, or tutorials around AI or software development.<br> You’ve tried to start something of your own.<br> You have a side project you’re deeply interested in.<br> You’ve experimented with AI agents, coding workflows, automations, or developer tools.<br> You’re interested in AI infrastructure, enterprise AI, governance, or agentic systems.<br> Why Join Us Front-row seat: Learn how a company is built directly from founders and senior engineers.<br> Real responsibility: You’ll work on meaningful projects, not just small tasks.<br> Strong mentorship: You’ll be supported while being pushed to grow quickly.<br> Frontier work: Build in one of the most exciting categories in tech right now.<br> Output-first culture: We care about what you can build, learn, and ship.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.<br> In this role, as an AI Pilot – that’s how we refer to this role at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.<br> This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.<br> What We Do The Mindrift platform connects specialists with AI projects from major tech innovators.<br> Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.<br> This is a freelance role for a Tendem project.<br> As a Senior Python Data Scraping Engineer , you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.<br> Key Responsibilities: Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.<br> Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.<br> Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.<br> Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.<br> Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.<br> Requirements: At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).<br> Bachelor’s or Master’s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.<br> Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows.<br> We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources.<br> A methodical, detail-oriented approach and the ability to work independently are essential.<br> Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML) Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets) Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks Strong attention to detail and commitment to data accuracy Self-directed work ethic with ability to troubleshoot independently A link to GitHub is a plus English proficiency: Upper-intermediate (B2) or above (required) Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements.<br> This is an estimate, not a guaranteed workload, and applies only while the project is active.<br> Compensation On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution.<br> Compensation varies across projects depending on scope, complexity, and required expertise.<br> Please note that other projects on the platform may offer different earning levels based on their requirements.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About us Infomineo is a pioneering global AI-enhanced research company that transforms how businesses access, analyze, and act on critical intelligence.<br> We've evolved from traditional business research outsourcing to become the strategic partner that combines cutting-edge artificial intelligence with deep human expertise.<br> We offer 3 services to our global clients (leading consulting companies, Fortune 500 companies, and government entities): AI and Data Advisory, Next-Gen Insights and Resource Scaling.<br> This is made possible by relying on 3 pillars of excellence: 1) 350+ industry experts spread across 5 offices (Cairo, Casablanca, Mexico City, Dubai, Barcelona), 2) Our proprietary AI orchestrator, 3) Extensive knowledge assets combining 500,000+ delivered case studies and database subscriptions.<br> Ready to kick start your career with us?<br> Become the AI &amp; Automation Rockstar at Infomineo!<br> Do you dream of using cutting-edge AI and automation to revolutionize how businesses operate?<br> Infomineo, a fast-growing business insights powerhouse, is seeking a Senior Research &amp; Development Engineer to join our ranks and spearhead the development of next-gen solutions for our global clientele.<br> Why Infomineo?<br> Here's what sets us apart: Shape the Future of Business Insights: You'll be at the forefront, designing and implementing AI-driven solutions that automate tasks and boost efficiency across our entire service spectrum (Business Research, Content, Design, and Data Analytics).<br> Work with the Big Players: Our clients are industry leaders - Fortune 500s, consultancies, governments, and NGOs - and you'll play a vital role in supporting their success.<br> Become an AI &amp; Automation Guru: We foster continuous learning.<br> Expect to stay on top of the latest advancements and actively propose and implement improvements.<br> Global Impact, Local Connections: Infomineo boasts a vibrant international team with offices across 5 continents.<br> Collaborate with diverse, brilliant minds and gain exposure to a variety of industries and regions.<br> Thrive in a Collaborative Culture: We value intellectual curiosity, creativity, and a "can-do" attitude.<br> You'll be encouraged to contribute your ideas and make a real difference in the company's growth.<br> Does this sound like your dream role?<br> Here's what you'll bring to the table: 3-5 years of experience in backend development and distributed systems.<br> Hands-on experiences in building scalable, high-throughput applications using robust architectural components such as messaging queues, caching layers, connection/resource pools, and event-driven asynchronous processing.<br> Proven track record of contributing to the design and implementation of state-of-the-art software architectures, with a focus on clean code, design patterns, and maintainability for large-scale enterprise environments.<br> Deep understanding of the software engineering fundamentals required to build frameworks for AI.<br> Solid grasp of the underlying principles of document processing, vectorization, semantic search, and the architecture of Retrieval-Augmented Generation (RAG) pipelines.<br> Strong communication skills with the ability to collaborate with tech leads, product teams, dedicated DevOps engineers, and stakeholders across multiple departments.<br> Bonus points for: Knowledge of LLM observability, telemetry, tracing, and monitoring paradigms for production environments.<br> Conceptual understanding of modern infrastructure ecosystems (e.<br>g., Infrastructure as Code, container orchestration, GitOps, and automated deployment pipelines) to effectively collaborate with our DevOps team.<br> Experience integrating complex third-party SaaS APIs.<br> Ready to join the revolution?<br> We offer: A competitive compensation and benefits package.<br> The opportunity to make a real impact on a global scale.<br> A dynamic and supportive work environment that values your contributions.<br> Continuous learning and professional development opportunities to propel your career forward.<br> Show us what you've got!<br> Submit your resume, cover letter, and any relevant portfolio links showcasing your AI and automation expertise.<br> Infomineo: Where brilliant minds meet to shape the future of business.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><font dir="auto" ><font dir="auto" ><b>Job Description </b></font></font><div> <p><font dir="auto" ><font dir="auto" >As a Java Kafka Data Engineer, your main responsibilities will be as follows:</font></font></p> <ul> <li><font dir="auto" ><font dir="auto" >Design, develop and maintain solutions for processing and managing large datasets on distributed architectures.</font></font></li> <li><font dir="auto" ><font dir="auto" >Participate in the implementation of data pipelines using Kafka for real-time data integration and distribution.</font></font></li> <li><font dir="auto" ><font dir="auto" >Develop Java applications for streaming and batch data processing.</font></font></li> <li><font dir="auto" ><font dir="auto" >Ensure the implementation of processes for optimizing and automating data flows.</font></font></li> <li><font dir="auto" ><font dir="auto" >To guarantee the quality, performance and scalability of applications by producing reliable and efficient code.</font></font></li> <li><font dir="auto" ><font dir="auto" >Working closely with the Data and DevOps teams to design suitable architectures and optimize system performance.</font></font></li> <li><font dir="auto" ><font dir="auto" >Participate in the evolution of the data infrastructure by providing continuous improvements and integrating new technologies.</font></font></li> <li><font dir="auto" ><font dir="auto" >Provide support and resolution of technical incidents in production related to data processing.</font></font></li> <li><font dir="auto" ><font dir="auto" >Write the technical documentation and specifications for the solutions implemented.</font></font></li> </ul> <p> <strong><font dir="auto" ><font dir="auto" >Required skills:</font></font></strong> </p> <p> <strong>Comp tences techniques :</strong> </p> <ul> <li><font dir="auto" ><font dir="auto" >Mastery of the Java language and best development practices.</font></font></li> <li><font dir="auto" ><font dir="auto" >Solid experience with Kafka (topic management, producers, consumers, Kafka Streams, etc.).</font></font></li> <li><font dir="auto" ><font dir="auto" >Knowledge of distributed data architecture concepts.</font></font></li> <li><font dir="auto" ><font dir="auto" >Experience with data processing frameworks (e.g., Apache Spark, Flink, etc.) is a plus.</font></font></li> <li>Ma trise des bases de donn es SQL et NoSQL (ex : PostgreSQL, MongoDB, Cassandra, etc.).</li> <li><font dir="auto" ><font dir="auto" >Knowledge of continuous integration tools and DevOps practices (Docker, Kubernetes, CI/CD).</font></font></li> <li><font dir="auto" ><font dir="auto" >Good understanding of distributed systems and the challenges of scalability and high availability.</font></font></li> <li><font dir="auto" ><font dir="auto" >Knowledge of big data and cloud computing (AWS, GCP, Azure) would be a plus.</font></font></li> </ul> <p> <strong>Comp tences non techniques :</strong> </p> <ul> <li><font dir="auto" ><font dir="auto" >Ability to work in a team and collaborate with different technical profiles (data scientists, devops, etc.).</font></font></li> <li><font dir="auto" ><font dir="auto" >Autonomy and rigor in the management of tasks and projects.</font></font></li> <li><font dir="auto" ><font dir="auto" >Good analytical skills and ability to solve complex problems.</font></font></li> <li><font dir="auto" ><font dir="auto" >A sense of innovation and curiosity for new technologies.</font></font></li> <li><font dir="auto" ><font dir="auto" >Excellent communication.</font></font></li></ul></div></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph">Qualifications </p><div> <p> <strong><font dir="auto" ><font dir="auto" >Search profile:</font></font></strong> </p> <ul> <li><font dir="auto" ><font dir="auto" >You have a degree from an engineering school or a university degree in computer science, with a specialization in data technologies.</font></font></li> <li><font dir="auto" ><font dir="auto" >You have significant experience with a minimum of 3-5 years in Java development and data flow management systems, ideally with Kafka.</font></font></li> <li><font dir="auto" ><font dir="auto" >You have already worked in large-scale production environments and are comfortable with performance and scalability issues.</font></font></li></ul></div><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company culture : <p>Akkodis is driven by a strong <strong>innovation-first</strong> culture, where creativity, experimentation, and bold thinking fuel daily engineering and R&amp;D work.<br> This spirit is balanced by a solid <strong>collaborative mindset</strong>, with supportive teams and hands-on managers who encourage growth and knowledge-sharing.<br> A structured and disciplined approach ensures <strong>operational excellence</strong>, meeting the high standards of the tech and engineering industries.<br> <strong>Performance</strong> and a healthy competitive drive further strengthen the company’s ambition as a global leader. </p><br><br> <br> Job : <p><strong>Mission</strong></p><br><br><ul><li>Contribute to the development and evolution of the Group's Data platform.</li><li>Develop solutions for data collection, storage, and distribution.</li><li>Build and maintain data pipelines (ETL/ELT).</li><li>Model data (Conceptual, High-Level Design).</li><li>Implement transformations with dbt, SQL, and Snowflake.</li><li>Develop visualizations with Power BI and Streamlit.</li><li>Write CDM, HLD, DAT, and DEX documents.</li><li>Produce technical documentation and reports.</li><li>Perform load estimations.</li><li>Produce a monthly CRA (Contractor Activity Report).</li><li>Work in DevSecOps using Azure DevOps.</li><li>Participate in Agile rituals (daily stand-ups, weekly meetings).</li><li>Track velocity and OTD (On-Time Delivery).</li><li>Fix post-delivery incidents.</li><li>Ensure pipeline reliability.</li></ul><br> <br> <br> Required profile : <p><strong>Profile Sought</strong></p><br><br><ul><li>Engineer or Bachelor's/Master's degree (Bac+5) in IT or data science.</li><li>3 to 5 years of experience.</li></ul><p><strong>Skills</strong></p><br><br><ul><li>SQL.</li><li>Python.</li><li>Data modeling.</li><li>Azure.</li><li>DevOps.</li><li>Data analysis.</li><li>Snowflake.</li><li>Power BI.</li><li>Streamlit.</li><li>dbt.</li><li>Power Query.</li></ul><p><strong>Qualities</strong></p><br><br><ul><li>Autonomy.</li><li>Rigor.</li><li>Team spirit.</li><li>Analytical skills.</li><li>Communication.</li></ul><br> <br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>As an Expert in automated testing, you will be responsible for the implementation and optimization of automated tests to ensure the quality and performance of our proposed software solutions.</p><p>Responsibilities:</p><ul><li>Define and design the overall architecture of test automation (UI, API, Mobile, Performance).</li><li>Implement and maintain automation frameworks (Selenium, Cypress, Playwright, Appium, etc.).</li><li>Support development teams in integrating automated tests into CI/CD pipelines.</li><li>Work with Technical Management to identify and implement innovative testing solutions.</li><li>Actively participate in improving methodologies and evolving testing tools.</li><li>Analyze test results and develop a detailed improvement plan for the team and clients.</li><li>Train and support technical teams on best practices in test automation.</li></ul><p>Required Skills:</p><ul><li>Solid experience in test automation.</li><li>Mastery of automated testing tools: Selenium, Cypress, Robot Framework, PlayWright, Katalon, Apium, ...etc.</li><li>Mastery of WebService tools: SOAPUI, Postman, Karate, ReadyAPI ...etc.</li><li>Knowledge of testing issues and challenges.</li><li>Ability to work in a team and communicate effectively with technical and non-technical stakeholders.</li><li>Analytical and synthesis skills to address optimal and creative solutions.</li><li>Mastery of performance testing and monitoring tools is a plus: JMeter, Gatling, ELK, New Relic, DataDog.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Engineer degree, BAC+5 in Computer Science</li><li>At least 6 years of experience</li><li>Works in an agile context</li><li>ISTQB certifications are a plus</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <br> Company culture : <p><strong>DXC – CDG</strong> stands out for a culture strongly focused on <strong>performance and competitiveness</strong>, where ambition, challenge and customer orientation shape priorities. This dynamic is balanced by a <strong>collaborative culture</strong>, fostering trust, empowerment and close managerial support. It also integrates an <strong>innovation dimension</strong>, encouraging initiative, adaptability and experimentation. Finally, a well-established <strong>organizational culture</strong> provides structure, ensuring process rigor, reliability and operational efficiency. </p><br><br> <br> Job : <p>Role Summary</p><br><br><p>The Data Governance Engineer will design, implement, and operationalize data governance controls across Microsoft 365 (M365) services including SharePoint Online, OneDrive, Microsoft Teams. The role focuses on ensuring data quality, compliance, lifecycle management, classification, and protection using Microsoft Purview and native M365 capabilities.</p><br><br><p>This position requires deep technical expertise combined with governance framework design, automation, and compliance monitoring.</p><br><br><br><p>Key Responsibilities</p><br><br><p>1. Governance Framework Implementation</p><br><br><p>Design and implement enterprise-wide data governance models for M365<br>Define data classification, retention, and lifecycle policies<br>Establish control frameworks for file duplication, ownership, and metadata consistency<br>Align governance with regulatory standards (GDPR, HIPAA, ISO 27001, etc.)</p><br><br><p><br>2. Microsoft Purview &amp; Compliance Controls</p><br><br><p>Configure and manage:<br>Sensitivity Labels<br>Retention Labels &amp; Policies<br>Data Loss Prevention (DLP) Policies<br>Records Management<br>Information Barriers (if applicable)<br>Develop auto-labeling policies based on content inspection<br>Enable audit logs, eDiscovery, and insider risk management</p><br><br><p><br>3. Data Lifecycle &amp; Quality Management</p><br><br><p>Implement controls for:<br>Duplicate file detection &amp; remediation<br>Content sprawl reduction<br>Versioning and archival strategies<br>Define data ownership and stewardship models<br>Establish data quality rules and monitoring mechanisms</p><br><br><p><br>4. Automation &amp; Remediation</p><br><br><p>Develop Power Automate workflows for:<br>Metadata enforcement<br>File lifecycle actions (archival, deletion, labeling)<br>Use PowerShell / Graph API for:<br>Bulk enforcement of policies<br>Compliance validation<br>Reporting and remediation<br>Automate exception handling and governance violations</p><br><br><p><br>5. Monitoring, Reporting &amp; Auditing</p><br><br><p>Build and maintain governance dashboards using Power BI<br>Monitor compliance using:<br>Microsoft Purview Compliance Portal<br>Audit Logs<br>Define KPIs such as:<br>% labeled content<br>Data retention compliance<br>Duplicate file reduction rate<br>Provide audit-ready reports for internal and external stakeholders</p><br><br><p><br>6. Collaboration &amp; Operating Model</p><br><br><p>Work closely with:<br>Security &amp; Compliance teams<br>M365 administrators<br>Business data owners<br>Define RACI matrix for governance activities<br>Participate in governance councils and steering committees</p><br><br> <br> <br> Required profile : <p>Required Skills &amp; Experience</p><br><br><p>Technical Skills</p><br><br><p>Strong experience in:<br>Microsoft 365 (SharePoint, Teams, OneDrive, Exchange)<br>Microsoft Purview (Compliance &amp; Data Governance)<br>Hands-on expertise in:<br>Sensitivity &amp; Retention Labels<br>DLP policies<br>Records Management<br>Copilot Readiness<br>Scripting &amp; Automation:<br>PowerShell (mandatory)<br>Microsoft Graph API<br>Power Automate</p><br><br><p><br>Governance &amp; Compliance</p><br><br><p>Experience building:<br>Data governance frameworks<br>Data classification and lifecycle models<br>Knowledge of:<br>Regulatory requirements (GDPR, etc.)<br>Enterprise information management best practices</p><br><br><p><br>Analytics &amp; Reporting</p><br><br><p>Power BI or similar tools for compliance dashboards<br>Data analysis for identifying governance gaps</p><br><br><p><br>Preferred Qualifications</p><br><br><p>Microsoft Certifications:<br>SC-400: Information Protection Administrator<br>MS-101 / MS-102<br>Experience with:<br>Large enterprise M365 tenants<br>Migration or M&amp;A scenarios<br>Data estate governance at scale</p><br><br><p><br>Key Deliverables</p><br><br><p>Enterprise Data Governance Model (M365)<br>Purview Policy Implementation Pack<br>Automation Scripts &amp; Power Automate Flows<br>Compliance Monitoring Dashboards<br>Governance Runbooks &amp; SOPs</p><br><br><p><br>Success Metrics</p><br><br><p>Reduction in duplicate/unmanaged data<br>% of content classified and labeled<br>Compliance adherence rate<br>Reduction in data sprawl across M365 workloads<br>Audit readiness and policy enforcement coverage</p><br><br> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <strong>What makes us Qlik?</strong><br><span>A </span><span>Gartner® Magic Quadrant™ Leader for 15 years in a row</span><span>, Qlik transforms complex data landscapes into actionable insights, driving strategic business outcomes. Serving over 40,000 global customers, our portfolio leverages pervasive data quality and advanced AI/ML capabilities that lead to better decisions, faster. </span><br><span>We excel in integration and governance solutions that work with diverse data sources, and our real-time analytics uncover hidden patterns, empowering teams to address complex challenges and seize new opportunities.</span><br><strong>The AI Systems Engineer Role</strong><br><br><span>As an AI Systems Engineer on Qlik’s AI Practice team, you will own the infrastructure, deployment, and reliability of production-grade agentic AI systems that power the next generation of intelligent automation at Qlik. Reporting to the Global Head of AI Strategy, Policy, and Governance, you will operate at the intersection of cloud infrastructure engineering and AI systems, provisioning, securing, and scaling the AWS environments that make our AI pipelines run reliably and cost-efficiently.</span><br><br><strong>What makes this role interesting?</strong><br><br><ul><li><strong>Ownership: </strong><span>You’ll own real infrastructure. This is not a role where you configure demos, you will provision, harden, and operate the AWS environments that run Qlik’s AI agents at scale.</span></li><li><strong>Frontier Stack: </strong><span>Work directly with AWS Bedrock AgentCore, a capability that most cloud engineers are only beginning to encounter. You’ll be among the first teams operationalizing it in production.</span></li><li><strong>High Impact: </strong><span>Small team, direct line to executive leadership, real decisions. You’ll shape how Qlik’s AI infrastructure evolves from the ground up.</span></li></ul><br><strong>Here’s how you’ll be making an impact:</strong><br><br><ul><li><strong>IaC and Cloud Provisioning: </strong><span>Design and maintain infrastructure-as-code (Terraform) for all AI workloads: Bedrock agents, AgentCore runtimes, Lambda functions, API Gateway endpoints, and supporting data services.</span></li><li><strong>AWS Bedrock AgentCore: </strong><span>Own deployment, configuration, and scaling of AWS Bedrock AgentCore environments, including model invocation routing, session management, and memory backends.</span></li><li><strong>Security and IAM: </strong><span>Architect secure, least-privilege IAM policies for agent runtimes, MCP integrations, cross-account access patterns, and service-to-service authentication.</span></li><li><strong>CI/CD Pipelines: </strong><span>Build and maintain CI/CD pipelines (GitHub Actions, AWS CodePipeline) for agentic workloads, covering infrastructure changes, Lambda deployments, and agent configuration updates.</span></li><li><strong>Observability and Cost Management: </strong><span>Instrument AI systems with OpenTelemetry, CloudWatch, and X-Ray. Own observability strategy: traces, metrics, cost dashboards, and alerting across agent pipelines.</span></li><li><strong>Networking: </strong><span>Manage networking topology for AI workloads: VPC design, PrivateLink, security groups, and egress controls to ensure data never leaves governed boundaries unexpectedly.</span></li><li><strong>Data Infrastructure: </strong><span>Build and operate the data infrastructure supporting agents: OpenSearch for semantic search and vector retrieval, and S3 lifecycle policies for knowledge artifact storage.</span></li><li><strong>Collaboration: </strong><span>Collaborate with AI engineers on MCP server deployments, containerized agent runtimes (ECS/Fargate), and performance tuning to hit latency and cost targets.</span></li></ul><br><strong>We’re looking for a teammate with:</strong><br><br><span>The ideal candidate will have hands-on experience owning production infrastructure, with deep proficiency across AWS and the modern cloud engineering stack:</span><br><ul><li><strong>Infrastructure as Code: </strong><span>You have strong hands-on Terraform experience. You version-control infrastructure the same way you version-control code.</span></li><li><strong>AWS Platform Depth: </strong><span>Deep AWS experience across Bedrock (model invocation, agents), Lambda, API Gateway, ECS/Fargate, App Runner, IAM, VPC, S3, CloudWatch, and X-Ray. Bedrock AgentCore exposure is a strong plus.</span></li><li><strong>Security Mindset: </strong><span>You understand the AWS IAM model deeply: roles, policies, SCPs, permission boundaries, and cross-account trust. You instinctively scope to least privilege.</span></li><li><strong>CI/CD: </strong><span>You build pipelines that deploy infrastructure and application code reliably. GitHub Actions, CodePipeline, or equivalent. You know how to roll back safely.</span></li><li><strong>Observability: </strong><span>Experience with OpenTelemetry, CloudWatch Logs Insights, and distributed tracing. You care about visibility into what AI systems are actually doing and what they cost.</span></li><li><strong>Python: </strong><span>Comfortable with Python for scripting, Lambda functions, and lightweight automation. You don’t need to be an ML engineer, but you can read and modify agent code.</span></li><li><strong>Containers: </strong><span>Comfortable with containerized workloads (Docker, ECS, Fargate, App Runner). Experience running long-running agent processes or streaming inference endpoints is a plus.</span></li><li><strong>Data Infrastructure: </strong><span>You understand vector search infrastructure and are comfortable operating OpenSearch clusters for semantic retrieval. Experience with RAG pipeline data stores preferred.</span></li></ul><br><span>Beyond technical skills, we’re looking for someone who brings:</span><br><ul><li><strong>Ownership: </strong><span>You close the loop. You don’t just provision infrastructure, you monitor it, cost-optimize it, and improve it without being asked.</span></li><li><strong>Comfort with Ambiguity: </strong><span>AI infrastructure is still being invented. You are energized by ambiguity and comfortable writing the runbook that didn’t exist before you joined.</span></li><li><strong>Communication: </strong><span>Able to explain an IAM boundary decision or a rate-limiting architecture to an AI engineer or a business stakeholder equally well.</span></li><li><strong>Security and Governance Mindset: </strong><span>You think about what happens when things fail, when costs spike, when an agent calls an endpoint it shouldn’t. You build guardrails proactively.</span></li></ul><br><strong>The location for this role is:</strong><br><span>King of Prussia, PA</span><br><span>Boston, MA</span><br><span>Hybrid: #LI-Hybrid</span><br><strong>Apply now and help change how the world transforms complex data landscapes into actionable insights and turns complex data challenges into new opportunities!</strong><br><strong>More about Qlik and who we are:</strong><br><span>Find out more about ‘Life at Qlik’ on social: </span>Instagram, LinkedIn, YouTube<span>, and </span>X/Twitter<span>, and to see all other opportunities to join us and our values, check out our </span>Careers Page.<br><strong>What else do we offer?</strong><br><ul><li><span>Named in Newsweek’s ‘Americas Greatest Workplaces 2025’: </span>https://rankings.newsweek.com/americas-greatest-workplaces-2025.</li><li><span>Genuine career progression pathways and mentoring programs.</span></li><li><span>Culture of innovation, technology, collaboration, and openness.</span></li><li><span>Flexible, diverse, and international work environment.</span></li></ul><br><span>Giving back is a huge part of our culture. Alongside an extra “change the world” day plus another for personal development, we also highly encourage participation in our </span>Corporate Responsibility Employee Programs.<br><strong>Salary and Benefits:</strong><span> The anticipated base salary range for this role is&nbsp;$100,000 to $125,000 USD. Final&nbsp;compensation&nbsp;offered by Qlik will be based on factors such as the candidate’s location, job-related skills, education, experience, and other business and organizational needs.</span><br><span>This position is eligible for comprehensive benefits, including - but not limited to - medical, dental, and vision coverage life and AD&amp;D, short and long-term disability coverage, paid time off, paid parental / maternity leave, participation in a 401(k) program that includes company match, and many other additional voluntary benefits.</span><br><strong>Application Window:</strong><span> The application window is 60 days, but applicants are encouraged to apply as soon as possible.&nbsp;The posting will be removed before the application window closes if the position is filled.</span><br><strong>For positions in Massachusetts:</strong><span> It is unlawful to require or administer a lie detector test for employment. Violators are subject to criminal penalties and civil liability.</span><br><span>Qlik is an Equal Opportunity/Affirmative Action Employer. We are committed to fostering a workplace that is diverse, equitable and inclusive.</span><br><span>Qualified applicants will receive consideration for employment without regard to actual or perceived: race, color, religion, sex, sexual orientation, gender identity, pregnancy and related medical conditions, genetic information, national origin, age, marital status, protected veteran status, disability status or any other characteristic protected by applicable law. For United States applicants and employees, go to the US Department of Labor’s website to review the Equal Employment Opportunity Posters, including the “Know Your Rights” and “Pay Transparency Nondiscrimination” posters.</span><br><span>If you need assistance applying for a role due to a disability, please submit your request via email to </span>accessibilityta@qlik.com. <span>Any information you provide will be treated according to Qlik’s</span> Recruitment Privacy Notice<span>. Qlik may only respond to emails related to accommodation requests.</span><br>Qlik uses artificial intelligence (e.g. Talent Intelligence developed by Eightfold) to screen and summarize resumes, assess and evaluate candidates, and score candidates for all positions at Qlik. Any hiring decision will involve a human review, and you will not be subject to decisions based solely on automated means. For questions about this tool, contact accessibilityta@qlik.com.<br><span>Qlik is not accepting unsolicited assistance from search firms for this employment opportunity. Please, no phone calls or emails. All resumes submitted by search firms to any employee at Qlik via-email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of Qlik. No fee will be paid in the event the candidate is hired by Qlik as a result of the referral or through other means.</span><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>Pre-Sales &amp; Solution Design:</strong></p><br><p>• Act as the technical authority for LenelS2 and Honeywell Security portfolios including:</p><br><p>o Access Control Systems (ACS)</p><br><p>o Video Management Systems (VMS)</p><br><p>o Intrusion Detection Systems (IDS)</p><br><p>o Integrated Security Platforms</p><br><p>• Design end-to-end security architectures aligned with customer requirements, standards, and regulatory compliance.</p><br><p>• Perform value engineering, ensuring optimal technical and commercial solutions.</p><br><p><strong>Sales &amp; Customer Engagement:</strong></p><br><p>• Partner closely with sales teams to support opportunity qualification, bid strategy, and deal closure.</p><br><p>• Deliver technical presentations, demonstrations, and proof-of-concepts (POCs) to customers, consultants, and partners.</p><br><p>• Respond to RFPs/RFQs, prepare compliance matrices, technical clarifications, and deviations.</p><br><p>• Build and maintain strong relationships with consultants, system integrators, and end users. Lead technical discovery sessions, site assessments, and requirement analysis.</p><br><p>• On quarterly basis, conduct live and digital events for customers (products sales certification training, webinars &amp; NPI presentations)</p><br><p>Technical Leadership &amp; Enablement:</p><br><p>• Serve as a mentor and technical escalation point for other application engineers.</p><br><p>• Support partners and internal teams through training, solution workshops, and best-practice sharing.</p><br><p>• Stay current on product roadmaps, cybersecurity requirements, and industry trends.</p><br><p><strong>Service Coordination:</strong></p><br><p>· Support the Services Sales team in preparing proposals, quotations, and tender documents.</p><br><p>· Keep a record of all potential service customers in the META region (SUSP, training, PES, CS, and Embedded services)</p><br><p>· Ensure timely review, approval, and submission of proposals in alignment with company policies.</p><br><p>· Maintain an accurate record of all opportunities, quotes, and pipeline updates in the NEX system.</p><br><p>· Coordinate with field service manager and sales teams for approvals, pricing, and compliance.</p><br><p>· Track project and contract status to ensure timely execution and closure.</p><br><p>· Serve as a point of contact for customers regarding service quotation updates, documentation, and project coordination.</p><br><p><strong>Training Coordination:</strong></p><br><p>· Plan and coordinate internal and external training programs (onsite and virtual).</p><br><p>· Keep track of all customers training records with regards to the number of certified engineers and certification validity.</p><br><p>· Follow up with all VARs and make sure that their certification requirements are being met.</p><br><p>· Ensure all VAR engineers are trained, and their certification is renewed annually and up to date with the latest release of the software.</p><br><p>· Manage logistics such as scheduling, venue arrangements, and materials.</p><br><p>· Coordinate all on demand and scheduled trainings for the entire META region.</p><br><p>· Maintain accurate training records and track compliance requirements.</p><br><p>· Keep track of all training revenues and ensure that the sales targets are being met every year.</p><br><p>· Gather and evaluate information from employees and management on previous training to identify weaknesses and areas that need additional training.</p><br><p>· Market company training programs to customers and provide information on benefits to encourage participation</p><br><p><strong>Commercial Excellence:</strong></p><br><p>· Develop and maintain weekly, monthly, and quarterly commercial performance reports.</p><br><p>· Track revenue, margin, order intake, pipeline, backlog, and forecast accuracy.</p><br><p>· Analyze sales KPIs including win rates, conversion ratios, pricing trends, and customer segmentation.</p><br><p>· Provide variance analysis against targets, budgets, and prior year performance.</p><br><p>· Design and manage dashboards using tools such as Power BI, Tableau, or CRM analytics.</p><br><p>· Automate reporting processes to improve accuracy and efficiency.</p><br><p>· Ensure data integrity and consistency across all business units</p><br><p>· Support Field Service managers with service pipeline tracking and forecast consolidation.</p><br><p>· Analyze forecast gaps and risk opportunities.</p><br><p>· Monitor sales cycle duration and deal progression metrics.</p><br><p>· Align reporting standards across regions and business units.</p><br><br><span>Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.</span><br>Responsibilities:<br><p><strong>Pre-Sales &amp; Solution Design:</strong></p><br><p>• Act as the technical authority for LenelS2 and Honeywell Security portfolios including:</p><br><p>o Access Control Systems (ACS)</p><br><p>o Video Management Systems (VMS)</p><br><p>o Intrusion Detection Systems (IDS)</p><br><p>o Integrated Security Platforms</p><br><p>• Design end-to-end security architectures aligned with customer requirements, standards, and regulatory compliance.</p><br><p>• Perform value engineering, ensuring optimal technical and commercial solutions.</p><br><p><strong>Sales &amp; Customer Engagement:</strong></p><br><p>• Partner closely with sales teams to support opportunity qualification, bid strategy, and deal closure.</p><br><p>• Deliver technical presentations, demonstrations, and proof-of-concepts (POCs) to customers, consultants, and partners.</p><br><p>• Respond to RFPs/RFQs, prepare compliance matrices, technical clarifications, and deviations.</p><br><p>• Build and maintain strong relationships with consultants, system integrators, and end users. Lead technical discovery sessions, site assessments, and requirement analysis.</p><br><p>• On quarterly basis, conduct live and digital events for customers (products sales certification training, webinars &amp; NPI presentations)</p><br><p>Technical Leadership &amp; Enablement:</p><br><p>• Serve as a mentor and technical escalation point for other application engineers.</p><br><p>• Support partners and internal teams through training, solution workshops, and best-practice sharing.</p><br><p>• Stay current on product roadmaps, cybersecurity requirements, and industry trends.</p><br><p><strong>Service Coordination:</strong></p><br><p>· Support the Services Sales team in preparing proposals, quotations, and tender documents.</p><br><p>· Keep a record of all potential service customers in the META region (SUSP, training, PES, CS, and Embedded services)</p><br><p>· Ensure timely review, approval, and submission of proposals in alignment with company policies.</p><br><p>· Maintain an accurate record of all opportunities, quotes, and pipeline updates in the NEX system.</p><br><p>· Coordinate with field service manager and sales teams for approvals, pricing, and compliance.</p><br><p>· Track project and contract status to ensure timely execution and closure.</p><br><p>· Serve as a point of contact for customers regarding service quotation updates, documentation, and project coordination.</p><br><p><strong>Training Coordination:</strong></p><br><p>· Plan and coordinate internal and external training programs (onsite and virtual).</p><br><p>· Keep track of all customers training records with regards to the number of certified engineers and certification validity.</p><br><p>· Follow up with all VARs and make sure that their certification requirements are being met.</p><br><p>· Ensure all VAR engineers are trained, and their certification is renewed annually and up to date with the latest release of the software.</p><br><p>· Manage logistics such as scheduling, venue arrangements, and materials.</p><br><p>· Coordinate all on demand and scheduled trainings for the entire META region.</p><br><p>· Maintain accurate training records and track compliance requirements.</p><br><p>· Keep track of all training revenues and ensure that the sales targets are being met every year.</p><br><p>· Gather and evaluate information from employees and management on previous training to identify weaknesses and areas that need additional training.</p><br><p>· Market company training programs to customers and provide information on benefits to encourage participation</p><br><p><strong>Commercial Excellence:</strong></p><br><p>· Develop and maintain weekly, monthly, and quarterly commercial performance reports.</p><br><p>· Track revenue, margin, order intake, pipeline, backlog, and forecast accuracy.</p><br><p>· Analyze sales KPIs including win rates, conversion ratios, pricing trends, and customer segmentation.</p><br><p>· Provide variance analysis against targets, budgets, and prior year performance.</p><br><p>· Design and manage dashboards using tools such as Power BI, Tableau, or CRM analytics.</p><br><p>· Automate reporting processes to improve accuracy and efficiency.</p><br><p>· Ensure data integrity and consistency across all business units</p><br><p>· Support Field Service managers with service pipeline tracking and forecast consolidation.</p><br><p>· Analyze forecast gaps and risk opportunities.</p><br><p>· Monitor sales cycle duration and deal progression metrics.</p><br><p>· Align reporting standards across regions and business units.</p><br><br>Qualifications:<br><p>• Bachelor’s degree in engineering (Electrical, Electronics, Computer, or related field).</p><br><p>• Proficient in Arabic and English language</p><br><p>• 8+ years of experience in security systems pre-sales / application engineering.</p><br><p>• Strong hands-on experience with:</p><br><p>o Honeywell Security products (ACS, VMS, Intrusion, integration platforms)</p><br><p>o Third party security systems</p><br><p>• Proven experience in large-scale, multi-site, and integrated security projects.</p><br><p>• Experience working with consultants, EPCs, and system integrators in Egypt and Africa Region</p><br><p><strong>We value:</strong></p><br><p>• Excellent presentation, communication, and stakeholder management skills.</p><br><p>• Ability to work independently and manage multiple opportunities simultaneously.</p><br><p>We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.</p><br><p><strong>Join us now and be part of a global team of thinkers, innovators, dreamers, and doers who make the things that make the future!</strong><br><strong>#TheFutureIsWhatWeMakeIt</strong></p><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><b><font dir="auto" ><font dir="auto" >Job Description </font></font></b><div> <p><font dir="auto" ><font dir="auto" >As a Data Engineer, you will join our data team to participate in strategic data analysis projects and the implementation of large-scale data processing solutions. You will be responsible for the design, optimization, and development of data pipelines on cloud platforms, with a focus on the use of </font></font><strong><font dir="auto" ><font dir="auto" >PySpark</font></font></strong><font dir="auto" ><font dir="auto" > and </font></font><strong><font dir="auto" ><font dir="auto" >Azure Data Factory</font></font></strong><font dir="auto" ><font dir="auto" > .</font></font></p> <p> <strong><font dir="auto" ><font dir="auto" >Your main responsibilities will be:</font></font></strong> </p> <ul> <li><font dir="auto" ><font dir="auto" >Design, develop and maintain large-scale data pipelines using </font></font><strong><font dir="auto" ><font dir="auto" >PySpark</font></font></strong><font dir="auto" ><font dir="auto" > .</font></font></li> <li><font dir="auto" ><font dir="auto" >Set up data flows with </font></font><strong><font dir="auto" ><font dir="auto" >Azure Data Factory</font></font></strong><font dir="auto" ><font dir="auto" > , integrating various data sources and destinations (SQL, Data Lakes, APIs, etc.).</font></font></li> <li><font dir="auto" ><font dir="auto" >Ensure the integration of data from various systems in a cloud environment (Azure).</font></font></li> <li><font dir="auto" ><font dir="auto" >Optimize the performance of data processing (SQL, PySpark, etc.).</font></font></li> <li><font dir="auto" ><font dir="auto" >Collaborating with business teams, data analysts and data scientists to understand needs and propose effective and scalable solutions.</font></font></li> <li><font dir="auto" ><font dir="auto" >Participate in defining the data architecture and governance strategy.</font></font></li> <li><font dir="auto" ><font dir="auto" >Set up and monitor data processing jobs (error handling, performance management).</font></font></li> <li><font dir="auto" ><font dir="auto" >Document the solutions implemented and follow best development practices.</font></font></li> <li><font dir="auto" ><font dir="auto" >Participate in the continuous improvement of existing processes and tools.</font></font></li></ul></div></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"><b>Qualifications </b></p><div> <p><font dir="auto" ><font dir="auto" >We are looking for a candidate with strong technical expertise in large-scale data management and processing, with the following skills:</font></font></p> <p> <strong>Comp tences techniques :</strong> </p> <ul> <li> <strong><font dir="auto" ><font dir="auto" >Mastering PySpark</font></font></strong><font dir="auto" ><font dir="auto" > for processing massive data in a distributed environment.</font></font></li> <li><font dir="auto" ><font dir="auto" >Significant experience in setting up and managing </font></font><strong><font dir="auto" ><font dir="auto" >Azure Data Factory</font></font></strong><font dir="auto" ><font dir="auto" > for creating and orchestrating data pipelines.</font></font></li> <li><font dir="auto" ><font dir="auto" >Solid experience in relational and non-relational databases (SQL, NoSQL).</font></font></li> <li><font dir="auto" ><font dir="auto" >Knowledge of data management tools in the </font></font><strong><font dir="auto" ><font dir="auto" >Azure</font></font></strong><font dir="auto" ><font dir="auto" > ecosystem (Azure Data Lake, Azure SQL Database, Azure Blob Storage, etc.).</font></font></li> <li><font dir="auto" ><font dir="auto" >Practical knowledge of </font></font><strong><font dir="auto" ><font dir="auto" >Azure cloud services</font></font></strong><font dir="auto" ><font dir="auto" > and their use in data processing solutions (Azure Databricks, Azure Synapse Analytics, etc.).</font></font></li> <li><font dir="auto" ><font dir="auto" >Experience with version control tools (Git, Azure DevOps, etc.) and good software development practices.</font></font></li> <li><font dir="auto" ></font><strong><font dir="auto" ><font dir="auto" >Knowledge of Big Data</font></font></strong><font dir="auto" ><font dir="auto" > concepts </font><font dir="auto" >and performance optimization in distributed environments.</font></font></li> </ul> <p> <strong><font dir="auto" ><font dir="auto" >Personal skills:</font></font></strong> </p> <ul> <li><font dir="auto" ><font dir="auto" >Autonomy, rigor and attention to detail.</font></font></li> <li><font dir="auto" ><font dir="auto" >Excellent ability to solve complex technical problems.</font></font></li> <li><font dir="auto" ><font dir="auto" >Good communication skills and ability to work in a team.</font></font></li> <li><font dir="auto" ><font dir="auto" >Analytical mindset and ability to understand business needs in order to propose appropriate solutions.</font></font></li> </ul> <p> <strong>Formation et exp rience :</strong> </p> <ul> <li><font dir="auto" ><font dir="auto" >Master's degree (Bac +5) in computer science, data science, or an equivalent field.</font></font></li> <li><font dir="auto" ><font dir="auto" >Minimum of </font></font><strong><font dir="auto" ><font dir="auto" >3 years of experience</font></font></strong><font dir="auto" ><font dir="auto" > in a similar role, with proven experience in development on </font></font><strong><font dir="auto" ><font dir="auto" >PySpark</font></font></strong><font dir="auto" ><font dir="auto" > and </font></font><strong><font dir="auto" ><font dir="auto" >Azure Data Factory</font></font></strong><font dir="auto" ><font dir="auto" > .</font></font></li></ul></div><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company culture : <p><strong>CGI Technologies and Solutions Morocco</strong> is characterized by a predominantly <strong>collaborative culture</strong>, placing people, trust and teamwork at the core of its operations. A close management approach fosters guidance, empowerment and skills development within a supportive environment. This dynamic is reinforced by a structured <strong>organizational culture</strong>, ensuring process rigor, reliability and operational efficiency. It is complemented by an <strong>innovation dimension</strong> that encourages adaptability and initiative, while a more moderate <strong>competitive component</strong> supports a balanced results-driven mindset. </p><br><br> <br> Job : <p>We are looking for a Site Reliability Engineer (SRE) passionate about automation, system reliability, and artificial intelligence technologies applied to IT operations (AIOps).</p><br><br><p>In this role, you will be responsible for the availability, performance, scalability, and resilience of production platforms. You will contribute to the transformation of operations towards a proactive and predictive model through the use of AIOps solutions, advanced automation, and modern observability.</p><br><br><p>You will work closely with development, operations, support, and incident management teams to continuously improve service quality and user experience.</p><br><br><p><u><strong>Functions and Responsibilities:</strong></u></p><br><br><p><br><strong>System Reliability and Performance</strong></p><br><br><ul><li>Design, deploy, and maintain reliable, scalable, and secure infrastructures and applications.</li><li>Define and manage reliability indicators (SLIs), service level objectives (SLOs), and error budgets.</li><li>Ensure proactive monitoring of platforms and guarantee their availability.</li><li>Analyze system performance and implement necessary improvements.</li></ul><p><br><strong>Observability and Monitoring</strong></p><br><br><ul><li>Develop and improve observability solutions based on metrics, logs, and traces.</li><li>Implement dashboards and indicators for real-time monitoring of service status.</li><li>Identify trends and weak signals to anticipate incidents.</li></ul><p><br><strong>AIOps and Automation</strong></p><br><br><ul><li>Implement AIOps solutions for anomaly detection, predictive analysis, and operations automation.</li><li>Develop self-remediation mechanisms for recurring incidents.</li><li>Automate operational processes through Infrastructure as Code (IaC), CI/CD pipelines, and remediation workflows.</li><li>Leverage artificial intelligence and machine learning models to improve alert quality and reduce operational noise.</li><li>Integrate AIOps platforms with ITSM tools to automate ticket creation and routing.</li></ul><p><br><strong>Incident Management and Continuous Improvement</strong></p><br><br><ul><li>Participate in major incident management and coordinate resolution actions.</li><li>Conduct post-incident analyses and continuous improvement initiatives.</li><li>Collaborate with Support teams (L1, L2, L3) and Problem Managers to reduce recurring incidents.</li><li>Promote SRE, DevOps, and AIOps best practices within the organization.</li></ul><p><br><strong>Support and Expertise</strong></p><br><br><ul><li>Contribute to the skill development of technical teams.</li><li>Evaluate and integrate new automation, observability, and artificial intelligence tools.</li><li>Participate in innovation initiatives aimed at strengthening operational efficiency.</li></ul> <br> <br> Required profile : <p><u><strong>Technical Skills</strong></u></p><br><br><ul><li>Minimum 5 years of experience in Site Reliability Engineering, DevOps, or critical systems operations.</li><li>Solid experience with Cloud environments, ideally Microsoft Azure.</li><li>Proficiency in containerization and orchestration technologies (Docker, Kubernetes).</li><li>Experience with CI/CD tools such as Git, GitLab, and Jenkins.</li><li>Good knowledge of Infrastructure as Code solutions (Terraform, Ansible, or equivalent).</li><li>Hands-on experience with observability and monitoring tools (Grafana, Prometheus, Splunk).</li><li>Knowledge of AIOps platforms and intelligent monitoring (ServiceNow AI, Dynatrace, Datadog, or equivalent).</li><li>Excellent scripting or development skills (Python, Java, or similar language).</li><li>Good understanding of distributed architectures, networking, and system performance.</li></ul><p><strong>Behavioral Skills</strong></p><br><br><ul><li>Strong analytical and complex problem-solving abilities.</li><li>Proactive approach focused on continuous improvement.</li><li>Innovative spirit and interest in artificial intelligence technologies applied to operations.</li><li>Excellent communication and collaboration skills.</li><li>Ability to work in cross-functional and multicultural environments.</li><li>Service-oriented and customer-focused.</li><li>Ability to support and mentor technical teams.</li></ul> <br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>APM Terminals</p><br><br><br><br><br><br><br><br><br><br><p>Are you ready to embark on an exciting career journey in the dynamic world of terminal operations? APM Terminals is a global leader in port and terminal management. As part of the A.P. Moller-Maersk Group, we're dedicated to delivering excellence in container handling, logistics solutions, and maritime services across the globe.</p><br><br><p>At APM Terminals, we pride ourselves on fostering a culture of innovation, collaboration, and operational excellence. With a presence in over 70 countries and a commitment to sustainability, we offer unparalleled opportunities for growth and development in a diverse and inclusive environment.</p><br><br><p>Join us as we continue to shape the future of global trade and make a meaningful impact on communities worldwide. Discover your potential with APM Terminals and become part of a team that's redefining the industry standards. Apply now and let's build a brighter future together!</p><br><br><br><p>We are seeking an experienced <b>Shift </b><b>IT/OT Engineer</b> with e<span>xperience according to industry-standard ITSM practices. Excellent communication skills with the ability to translate between technical and user language. Strong problem-solving skills and the ability to troubleshoot complex technical issues. Hands-on experience with IT and OT infrastructure hardware devices. Familiarity with terminal operational constraints and local regulatory requirements. In-depth knowledge of end-user software and devices. Ability to work effectively in a fast-paced and dynamic environment.</span></p><br><br><br><p><span><b>Key Responsibilities:</b></span></p><br><br><ul><li><span>Proactively monitor the Terminal Technology Platform to predict and prevent incidents. </span></li><li><span>Provide hands-on support, conduct maintenance, and resolve incidents for local IT infrastructure services and assets, including datacenter racks, cabling, network, and server equipment. </span></li><li><span>Provide hands-on support, conduct maintenance, and resolve incidents for local OT infrastructure services and assets, including Access Control, CCTV/OCR equipment, radio equipment, VMTs, Assets Sub-Systems, and backbone network infrastructure. </span></li><li><span>Support the regional IT service delivery team with onsite IT/OT support for incident and change management when required. </span></li><li><span>Install and replace end-user and IT/OT infrastructure hardware devices. </span></li><li><span>Resolve incidents within agreed service levels and participate in regional Change Advisory Board (CAB) meetings. </span></li><li><span>Provide end-user support services according to agreed service level agreements. </span></li><li><span>Collaborate with local IT/OT Engineers from Level 2 and the regional IT service delivery team to support and maintain local IT/OT infrastructure. </span></li><li><span>Ensure proper Change and Incident processes associated with local IT/OT assets within warranty and vendor support. </span></li><li><span>Contribute to local IT initiatives in the terminals, as well as the implementation of new technology and infrastructure to support terminal operations. </span></li><li><span>Stay informed about terminal operational constraints, local regulatory requirements, and industry-standard ITSM practices. </span></li><li><span>Demonstrate in-depth knowledge of end-user software and devices, as well as local IT and OT infrastructure components.</span></li></ul><br><p><span>What are we looking for: </span></p><br><br><ul><li><span>In depth knowledge of end-user software and devices</span></li><li><span>In depth knowledge of local IT and OT infrastructure components</span></li><li><span>Experienced at working according to industry standard ITSM practices</span></li><li><span>Communicative – able to translate between technical and user language</span></li><li><span>Problem solving skills</span></li></ul><p><span>#LI-SS1&nbsp;</span></p><br><br><p><span>#LI-POST</span></p><br><br><br><p><span><span>Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.</span></span></p><br><br><br><p><span><span><span>We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing&nbsp; </span><span><span><span><span><span><span><span><span><span><span><span>accommodationrequests@maersk.com</span></span></span></span></span></span></span></span></span></span></span><span>.&nbsp;</span></span></span></p><br><br><br><br><br><br> </div>