Agronomist Jobs in Morocco

<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>

<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" >Choosing Capgemini means choosing a company where you can shape your career according to your aspirations. With the support and inspiration of a global community of experts, you can rewrite your future. Join us to redefine the boundaries of what's possible, help unlock the value of technology for the world's leading organizations, and contribute to building a more sustainable and inclusive world.</font></font></p><p><font dir="auto" ><font dir="auto" >Your mission: Within our project teams, you will contribute to the implementation of data integration solutions for key accounts in the banking, insurance, energy, and industrial sectors. You will join a multidisciplinary team, organized using Agile methodologies, and working on high-impact business projects.</font></font></p><p><font dir="auto" ><font dir="auto" >As a Senior DevOps / SecOps Engineer, you will be involved in various tasks such as:</font></font></p><ul><li><font dir="auto" ><font dir="auto" >Define and implement secure cloud architectures (AWS, Azure, GCP) in collaboration with architects and project teams.</font></font></li><li><font dir="auto" ><font dir="auto" >Design, implement and maintain robust and secure CI/CD pipelines (GitLab CI, Jenkins, Azure DevOps).</font></font></li><li><font dir="auto" ><font dir="auto" >Automate infrastructure provisioning via Infrastructure as Code tools (Terraform, Ansible, CloudFormation).</font></font></li><li><font dir="auto" ><font dir="auto" >Deploy and manage containerized environments (Docker, Kubernetes) while ensuring performance, scalability and security.</font></font></li><li><font dir="auto" ><font dir="auto" >Implementing DevSecOps best practices: Integrating security controls into the CI/CD pipeline (SAST, DAST), Identity and Access Management (IAM), and Securing secrets (Key Vault, Secrets Manager).</font></font></li><li><font dir="auto" ><font dir="auto" >Ensure the monitoring and observability of systems (Grafana, ELK, Dynatrace, Splunk) and intervene in case of an incident.</font></font></li><li><font dir="auto" ><font dir="auto" >Participate in Build &amp; RUN activities: deployment, operation, performance optimization and troubleshooting.</font></font></li><li><font dir="auto" ><font dir="auto" >Collaborating closely with the Dev, Data, Infra and Security teams to ensure the reliability and security of the platforms.</font></font></li><li><font dir="auto" ><font dir="auto" >Contribute to the continuous improvement of DevOps/SecOps tools, processes and best practices.</font></font></li><li><font dir="auto" ><font dir="auto" >To monitor technological developments in cloud, automation and cybersecurity solutions.</font></font></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><font dir="auto" ><font dir="auto" >Your profile: Master's degree (Bac+5) in Computer Science or equivalent. Proven experience (4-5 years) in DevOps/SecOps in cloud environments. Proficiency with Cloud platforms: AWS, Azure, and/or GCP. Solid expertise in setting up and managing CI/CD pipelines (GitLab CI, Jenkins, Azure DevOps, Git). Good command of Infrastructure as Code and automation tools (Terraform, Ansible, CloudFormation, Azure CLI). Experience in containerization and orchestration (Docker, Kubernetes). Security skills (SecOps). Experience in monitoring and observability (Grafana, ELK, Dynatrace, Splunk). Ability to work on Build and Run activities (deployment, operation, troubleshooting). Good understanding of SRE concepts (SLO, SLA, performance, reliability). Analytical mindset, autonomy, a focus on delivery, and the ability to work in an Agile environment. One or more Cloud or DevOps/Security certifications are highly valued.</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>ABOUT DEPARTER - THE KNOW-WHO PEOPLE Departer is a leading German Executive Search firm with over 20 years of experience in global leadership recruitment. We specialize in placing executives in medium-sized enterprises and private equity portfolio firms across DACH, MEAI, ASIA, and ANZ regions. With a deep understanding of the DACH economy, we facilitate successful placements within global management teams across corporate headquarters and entities abroad. On an exclusive mandate, we are seeking a Sales Engineer (m/f/d) for our client tesa, a global leader in self-adhesive product and system solutions serving industry, professional craftsmen, and consumers. With more than 5,000 employees and a presence in over 100 countries, tesa develops and markets innovative, high-quality solutions that are trusted worldwide. In this role, you will be responsible for driving sales activities in key industrial markets, such as packaging, solar, and the building industry, across Morocco. By building strong customer relationships and leveraging tesa s innovative technologies, you will play a vital role in expanding the company s market position and contributing to its ambitious growth strategy in the region.</p><p>Your duties and responsibilities will include:</p><ul><li>Manage sales activities across selected industrial markets (e.g., packaging, appliances, solar, building industry, smart card, elevators)</li><li>Ensure the operative achievement of defined business targets</li><li>Continuously generate new business opportunities based on tesa innovations (products, applications, and/or distribution channels)</li><li>Drive the development and implementation of supportive business structures</li><li>Lead the planning process for your assigned market segments</li><li>Support international cooperation and effective communication within the organization</li><li>Define and implement tailored sales strategies, including account plans and forecasts, to achieve ambitious sales and margin targets</li><li>Ensure accurate and timely reporting in line with local, regional, and global tesa requirements</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>To be successful in this role you should have the following skills and experiences:</p><ul><li>University degree in Engineering (e.g., Mechanical, Industrial, Chemical, Mechatronic, Electrical, or Materials Engineering)</li><li>Proven track record in industrial sales with at least 2 3 years of relevant experience</li><li>Dynamic, credible and self-driven professional with a proven ability to create measurable business impact</li><li>Fluent in English, both written and spoken, with strong presentation and negotiation skills</li><li>Proficient in MS Office with a solid command of common business software applications</li><li>Outstanding communication and interpersonal skills with the ability to build lasting customer relationships</li><li>Valid driving license</li><li>High degree of flexibility and willingness to travel both locally and internationally</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Why join Aptiv? You'll have the opportunity to work on cutting-edge applications, develop breakthrough technologies, and deliver innovative solutions to some of the world’s leading automotive brands. See your work come to life on the road—helping make mobility safer, greener, and more connected. Ready to shape the future of mobility with us?</p><br><p>We are currently looking for a Process Engineer</p><br><ul><li><b>Process Development &amp; optimization :</b><ul><li>Design, validate and implement automated testing system and vision inspection systems for manufacturing Lines.</li><li>Develop testing methods for mechanical, electrical, or functional product validation.</li><li>Optimize Cycle time , accuracy and reliability of testing and vision process</li><li>Develop maintenance preventive maintenance Plans for testing and vision systems</li><li>Propose CI Projects</li></ul></li><li><b>Equipment Management &amp; Integration :</b><ul><li>Specify, select, and validate equipment and software for testing systems</li><li>Collaborate with equipment suppliers for integration of new testing and inspection systems.</li><li>Train production and quality team on Testin/vision equipment usage and troubleshooting</li></ul></li><li><b>Quality &amp; Compliance :</b><ul><li>Ensure that testing systems meet customer and internal requirement.</li><li>Support root cause analysis for quality issues related to Testing and vision system</li><li>Maintain traceability for inspection and testing data</li></ul></li></ul><p><b><u>Your Background:</u></b></p><br><ul><li><p>Bachelor’s or Master’s degree In electrical, Mechatronics, automation, Industrial or Mechanical engineering</p><br></li><li><p>Specific Background on Cutting Crimping Process will be an Additional Asset</p><br></li><li><p>2 years of experience in automotive sector.</p><br></li></ul><p><b><u>Aptiv Rewards &amp; Advantages:</u></b></p><br><ul><li><p>Competitive compensation package.</p><br></li><li><p>Learning, professional growth and development in a world recognized international environment.</p><br></li><li><p>Access to internal &amp; external training, coaching &amp; certifications.</p><br></li><li><p>Recognition for innovation and excellence.</p><br></li><li><p>Opportunities to give back to the community.</p><br></li><li><p>Meaningful work that makes a difference in the world</p><br></li></ul><p>#LI-PT1</p><br><p>Privacy Notice - Active Candidates: <span>https://www.aptiv.com/privacy-notice-active-candidates</span></p><br><p><span>Aptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law.</span></p><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>

<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>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><div><div><br> <p> <strong><font dir="auto" ><font dir="auto" >As a Methods &amp; Industrialization Engineer, your responsibilities will be as follows*:</font></font></strong> </p> <ul> <li><font dir="auto" ><font dir="auto" >Assisting with the training of technical and production staff on aeronautical parts.</font></font></li> <li><font dir="auto" ><font dir="auto" >Monitoring of skills, authorizations and qualifications of maintenance and methods teams.</font></font></li> <li><font dir="auto" ><font dir="auto" >Complete management of technical documentation: creation, updating, distribution, and compliance with customer requirements and EN9100 standards.</font></font></li> <li><font dir="auto" ><font dir="auto" >Creation of industrial files and product ranges.</font></font></li> <li><font dir="auto" ><font dir="auto" >Monitoring the configuration of parts according to regulatory requirements.</font></font></li> <li><font dir="auto" ><font dir="auto" >Tooling management: registration, control, maintenance and validation according to quality procedures.</font></font></li> <li><font dir="auto" ><font dir="auto" >Preparation for and participation in quality audits.</font></font></li> <li><font dir="auto" ><font dir="auto" >Implementation of technical controls, ISPs, customer acceptance testing, quality surveys and corrective actions.</font></font></li> <li><font dir="auto" ><font dir="auto" >Technical assistance to operators, problem solving, definition of plans and sketches.</font></font></li> <li><font dir="auto" ><font dir="auto" >Monitoring of workload transfers between the CI (France) and CIM (Morocco) units.</font></font></li> <li><font dir="auto" ><font dir="auto" >Participation in production operations (factory openings/closings, security, hygiene, environment, energy).</font></font></li> <li><font dir="auto" ><font dir="auto" >Supervision of technical teams: maintenance, methods, training.</font></font></li> <li><font dir="auto" ><font dir="auto" >Organizing follow-up meetings and managing the actions to be carried out.</font></font></li> </ul> <p> <strong> <u><font dir="auto" ><font dir="auto" >Required skills and knowledge:</font></font></u> </strong> </p> <ul> <li><font dir="auto" ><font dir="auto" >Candidates must have a Bac+5 degree (Industrial Engineering, Process and Materials Engineering, Mechanical Engineering)</font></font></li> <li><font dir="auto" ><font dir="auto" >Having 3-5 years of experience in a similar position;</font></font></li> <li><font dir="auto" ><font dir="auto" >Mastery of the company's industrial processes</font></font></li> <li><font dir="auto" ><font dir="auto" >Proficiency in Microsoft Office suite;</font></font></li> <li><font dir="auto" ><font dir="auto" >Mastery of EN9100 and ISO9001 quality standards</font></font></li> </ul> <p><font dir="auto" ><font dir="auto" >Your interpersonal skills, your curiosity, but also your ability to be proactive and to be oriented towards innovation will allow you to carry out your missions successfully and to thrive in this position.</font></font></p> <ul> <li><font dir="auto" ><font dir="auto" >You will be working in a dynamic and growing environment.</font></font></li> <li><font dir="auto" ><font dir="auto" >You will benefit from the agility and flexibility of an SME combined with the solidity and resources of an international group that has existed for 170 years.</font></font></li> <li><font dir="auto" ><font dir="auto" >You will benefit from a personalized integration program upon taking up your position, regular training within a group where career development prospects are rich and diverse.</font></font></li> <li><font dir="auto" ><font dir="auto" >We are committed to an environmental and social (CSR) policy in the areas of Biodiversity, Diversity &amp; Inclusion, Parenthood, Ethics and Skills Development.</font></font></li> <li><font dir="auto" ><font dir="auto" >We aim for carbon neutrality by 2050 for all our activities.</font></font></li> <li><font dir="auto" ><font dir="auto" >We invest 5% of our turnover every year for the past 20 years in innovation for sustainable development.</font></font></li> </ul> </div> </div> <div> <div> <div><br></div></div><div><div> </div></div></div></div></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"> <span><b>Lear For You</b> <br> </span><p>We work hard for the people who work for us. We champion our teams and foster collaboration, inclusion, respect and excellence. Because <strong>we want to be more for you.</strong></p><br> <p>A path to a better career. A better future.</p><br> <p>Our teams have invented groundbreaking technologies, manufactured millions of products and earned a long list of awards. Year after year, we’re named one of the World’s Most Admired Companies.</p><br> <p>They’re the secret to our success—empowered, inventive and inclusive. Passionate about their craft. Driven to succeed. Because we win together.</p><br> <p>Are you ready for a better career? A better future?</p><br><br><br><b>Responsibilities</b> <br><ul> <li>Participate in the development and validation of the project and manage progress through meetings and periodic reports.</li> <li>Analyze and study process definition and manufacturing flow in the cutting area.</li> <li>Define and implement cutting and crimping processes, including machine configuration, parameter settings, and process standardization.</li> <li>Lead the definition, specification, and procurement of cutting &amp; crimping equipment, tooling (applicators, presses, blades), and spare parts in alignment with project requirements and budget.</li> <li>Define and validate tooling selection (crimp applicators, dies, wire cutting tools) based on wire specifications and customer requirements.</li> <li>Ensure tooling, equipment installation and validation in accordance with Project timing.</li> <li>Solve day-to-day manufacturing problems and resolve production stops related to the process.</li> <li>Improve the efficiency of the manufacturing line by utilizing lean manufacturing and six sigma techniques.</li> <li>Demonstrate, execute and embody the role model leadership attributes Follow &amp; execute innovation projects: IDEA, Industry 4.0, …</li> <li>Supervise and animate a functional and hierarchical team of equipment/process technicians.</li> </ul><br><br><b>Education Requirements</b> <br><ul> <li>Engineer or (Bac+5) degree in Mechanical/Industrial engineering or equivalent.</li> </ul><br><br><b>Experience Requirements</b> <br><ul> <li>3 years of professional experience in Automotive/wiring industry.</li> <li>Excellent knowledge of data analysis and capacity study</li> <li>Strong technical expertise in cutting and crimping equipment, including setup, validation, troubleshooting, and optimization.</li> <li>In-depth understanding of crimping standards (pull force, crimp height, crimp cross-section analysis, IPC/automotive standards) and quality requirements.</li> <li>Ability to define and validate crimping parameters, tooling selection (applicators, presses), and machine calibration.</li> <li>Practical knowledge of MS Office.</li> <li>Strong organizational and problem-solving skills.</li> <li>Deadline-oriented and decision-making ability.</li> <li>Excellent organizational skills: proven ability to plan and priorities tasks.</li> </ul><br><br><b>Languages</b> <br><ul> <li>Excellent communication skills in French &amp; English</li> </ul><br><br><b>Equal Opportunity Employer</b> <br> <p><span><em>Lear Corporation is committed to fair, merit‑based employment practices and equal opportunity.</em></span></p><br> <p><span><em>We provide reasonable accommodations in accordance with applicable law. For assistance during the application process, contact your recruiter directly.</em></span></p><br> <p><em><span>Applicants must submit their resume for consideration using our applicant tracking system. Due to the high volume of applications received, only candidates selected for interviews will be contacted. Candidates must be legally authorized to work in the country where the position is located. Unsolicited resumes from search firms, employment agencies, or similar, will not be paid a fee and will become the property of Lear Corporation.</span></em></p><br><br><br><br> </div>

<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>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Capgemini Engineering, a global leader in engineering services, brings together teams of engineers, scientists, and architects to help the world's most innovative companies unlock their potential. From autonomous cars to life-saving robots, our experts in digital and software technologies think outside the box by providing unique R&amp;D and engineering services across all sectors. Join us for a career full of opportunities, where you can make a difference and where no day is the same.</p><p>About the position: As part of our industrial projects, we are looking for a Structural Steel Calculation Engineer. You will be responsible for carrying out and/or verifying pre-dimensioning and dimensioning studies of metallic structures, ensuring the compliance of calculations with current standards and the robustness of the proposed technical solutions.</p><p>Job missions:</p><ul><li>Perform design, pre-dimensioning, and dimensioning studies of metallic structures such as steel frames and/or secondary supports.</li><li>Perform steel frame calculations during the execution phase.</li><li>Perform calculations for piping supports, cable tray supports, and ventilation duct supports (HVAC), taking into account the forces transmitted by the supported networks.</li><li>Perform anchorage calculations for metallic structures (base plates/supports).</li><li>Apply current calculation references and standards, particularly Eurocodes 2, 3, and 8, as well as applicable project requirements.</li><li>Produce hypothesis notes, calculation notes, and supporting documents.</li><li>Analyze the coherence of input data, identify open technical points, and alert on potential impacts in design, manufacturing, or assembly.</li><li>Propose robust technical solutions integrating site constraints, manufacturing, assembly, and interfaces with other disciplines such as piping, HVAC, electricity, general installation, and civil engineering.</li><li>Provide technical support to designers/drafters and contribute to the review of plans, calculation notes, and associated deliverables.</li></ul><p>Some reasons to join us:</p><ul><li>Quality of work life: Possibility of remote work in Morocco as well as internationally and autonomy in organizing your daily life, hybrid missions according to your preferences.</li><li>Continuous learning: access to dedicated training and certifications for your technology, personalized support, and an integration program.</li><li>Varied and high-impact projects: work with major clients in diverse sectors with stimulating technical and technological challenges.</li></ul><p>Our commitments and priorities:</p><p>The Capgemini Group encourages an inclusive culture in a multicultural and disability-friendly environment. By joining us, you become part of a collective that values diversity, develops the potential of its talents, engages in solidarity initiatives with its partners, and is committed to reducing its environmental impact across all its sites and with its clients.</p><p>Capgemini is a global, responsible, and multicultural leader, bringing together nearly 350,000 people in over 50 countries. With 55 years of experience, we are a strategic partner for companies in the transformation of their activities by leveraging the full power of technology and innovation in constantly evolving fields such as cloud, data, Artificial Intelligence, connectivity, software, digital engineering, or platforms.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>Your profile:</h2><ul><li>Graduated from an engineering school or holding a Master's degree in Civil Engineering, structural calculation, or equivalent discipline.</li><li>Significant experience in structural calculation, ideally in the industrial and energy sectors.</li><li>Solid knowledge of metallic structures and structural mechanics.</li><li>Proficiency in Eurocodes 2, 3, and 8, and Strength of Materials (RDM).</li><li>Good knowledge of codes and calculation methods applicable to metallic structures.</li><li>Proficiency in at least one structural calculation software such as Robot Structural Analysis, Advance Design, or RSTAB.</li><li>Transversal knowledge in civil engineering.</li><li>Good command of office tools (Excel, Word, PowerPoint, Outlook).</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" ><font dir="auto" ><font dir="auto" >Cybersecurity Engineer</font></font></font></font></p><p><font dir="auto" ><font dir="auto" ><br></font></font></p><p><font dir="auto" ><font dir="auto" >In this role, your main responsibilities will be: OT Cybersecurity Governance - Define, develop, and monitor the plant's OT cybersecurity KPIs. - Prepare the weekly operational cybersecurity committee meeting. - Define OT cybersecurity guidelines/processes (NIS2, etc.). OT Cybersecurity Risk Assessment - Define a risk assessment matrix to support the local plant cybersecurity assessment. - Define the corresponding mitigation action plan. - Conduct some local assessments to support the deployment of Data projects. OT Cybersecurity Awareness and Support in the Plant - Prepare and lead monthly cybersecurity meetings with the plants. - Support the plants in deploying cybersecurity projects (Backup and Recovery, Remote Access, etc.). CBS OT Project - Contribute to making plant solutions secure by design. - Contribute to the cybersecurity project steering committee (Manufacturing representative). - Define secure solutions for a low-cost vision system.</font></font></p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><b><font dir="auto" ><font dir="auto" >Profile:</font></font></b><font dir="auto" ><font dir="auto" > Master's degree (or equivalent) Experience: 3-5 years </font></font><b><font dir="auto" ><font dir="auto" >Skills:</font></font></b><font dir="auto" ><font dir="auto" > The ideal candidate will possess dual expertise in IT and automation, specializing in the deployment of digital solutions for industrial machinery and the optimization of production processes. You are rigorous, persevering, organized, methodical, and responsive. Your ability to work both independently and as part of a team, along with your teaching skills, allows you to gain team buy-in and drive projects forward.</font></font></p><p></p></section>

<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>