وظائف مهندس مبيعات في المغرب

<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 Senior Data Engineer to join our teams </font></font><strong><font dir="auto" ><font dir="auto" >in Rabat</font></font></strong><font dir="auto" ><font dir="auto" > and </font></font><strong><font dir="auto" ><font dir="auto" >Casablanca</font></font></strong><font dir="auto" ><font dir="auto" > and participate in the development and maintenance of our Data Warehouse solutions. The successful candidate will be responsible for the design, development, and implementation of data pipelines.</font></font></p> <p> <strong>Responsabilit s</strong> :</p> <ul> <li><font dir="auto" ><font dir="auto" >Design, develop and deploy data pipelines for our Data solutions using PySpark, Azure Data Factory and Azure Databricks, ensuring data quality and reliability.</font></font></li> <li><font dir="auto" ><font dir="auto" >Optimize the performance of data processing and queries.</font></font></li> <li><font dir="auto" ><font dir="auto" >Collaborating closely with the business teams to understand the requirements and functional needs.</font></font></li> <li><font dir="auto" ><font dir="auto" >Participate in technology monitoring and propose continuous improvements to optimize Data Warehouse processes and solutions.</font></font></li> <li><font dir="auto" ><font dir="auto" >Ensure complete documentation of architectures, solutions and data flows.</font></font></li></ul></div></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph">Qualifications </p><div> <ul> <li><font dir="auto" ><font dir="auto" >5 years or more of experience in developing Data solutions.</font></font></li> <li><font dir="auto" ><font dir="auto" >Excellent PySpark master.</font></font></li> <li><font dir="auto" ><font dir="auto" >Practical experience with Azure Data Factory and Azure Databricks.</font></font></li> <li><font dir="auto" ><font dir="auto" >Solid understanding of distributed data processing concepts.</font></font></li> <li><font dir="auto" ><font dir="auto" >Ability to solve problems independently and debug effectively.</font></font></li> <li><font dir="auto" ><font dir="auto" >Strong communication and teamwork skills.</font></font></li> </ul> <p> <strong>Comp tences appr ci es</strong> :</p> <ul> <li><font dir="auto" ><font dir="auto" >Experience with other Data Warehouse tools such as Hadoop, Hive, Kafka, etc.</font></font></li> <li><font dir="auto" ><font dir="auto" >Proficiency in Power BI for data visualization.</font></font></li> <li><font dir="auto" ><font dir="auto" >Knowledge of Terraform for infrastructure automation.</font></font></li> <li><font dir="auto" ><font dir="auto" >Familiarity with Power Apps for business application development.</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"><p><font dir="auto" ><font dir="auto" >Job Description: As part of the growth of our QA activities, we are looking for a Functional Tester to join our teams and contribute to the quality of deliverables on high-visibility strategic projects. You will work on complex environments (web, mobile, API, ERP, etc.) within agile teams.</font></font></p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><font dir="auto" ><font dir="auto" >Main Responsibilities: Analyze functional requirements, define the appropriate testing approach, and ensure complete traceability between requirements and test coverage. Design, structure, and execute functional test scenarios (manual and with a first level of automation) on the Web, Mobile, and API layers, ensuring clear documentation and reliable test evidence. Prepare test environments, manage test data, and contribute to the continuous improvement of Quality Assurance (QA) practices, tools, and methodologies. Identify, report, and track anomalies while collaborating closely with development, product, and business teams to ensure functional alignment and the quality of deliverables. Actively participate in Agile ceremonies and promote knowledge sharing by mentoring and guiding junior testers on the team.</font></font></p><p><font dir="auto" ><font dir="auto" >Soft Skills: Analytical mindset, attention to detail, rigor, autonomy. Excellent communication skills in English. Comfortable working within multidisciplinary Agile teams.</font></font></p><p><font dir="auto" ><font dir="auto" >Profile: Bachelor's or Master's degree in computer science or a related field. 3 to 5 years of experience in functional testing. Experience with Agile/Scrum environments. ISTQB certification is a plus.</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>You will have the opportunity to develop your skills on the most innovative technologies, tools, and methodologies.</p><p>Your main missions:</p><ul><li>Collaborate with DevOps/SRE teams to automate Cloud environments using CI/CD pipelines and Infrastructure as Code (IaC).</li><li>Design and implement automated, secure, scalable, and performant deployment solutions.</li><li>Propose technical solutions adapted to client issues.</li><li>Operate and maintain the Image Factory platform, mainly in a Microsoft Azure environment.</li><li>Design and maintain automated image creation pipelines with Packer, Ansible, and GitHub Actions.</li><li>Create, update, and publish Windows and Linux images in Azure Compute Gallery.</li><li>Apply system updates, security patches, and configuration changes to reference images (Golden Images).</li><li>Diagnose image generation failures and improve pipeline reliability.</li><li>Collaborate with Cloud, Security, and Platform Engineering teams to provide standardized images.</li><li>Ensure image version management, testing, and lifecycle management.</li><li>Participate in the continuous improvement and automation of the Image Factory platform.</li><li>Utilize Artificial Intelligence-based solutions to optimize the Image Factory platform.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>Qualifications</h2><p>Master's degree or equivalent in computer science or a related field.</p><p>Minimum of 3 years of experience in designing, deploying, and administering Azure Cloud solutions.</p><p>Experience with AWS or GCP is an asset.</p><h2>Technical Skills</h2><ul><li>Scripting Languages: Python, Bash, Shell, PowerShell</li><li>Cloud: Excellent mastery of Microsoft Azure</li><li>Infrastructure as Code: Terraform, CloudFormation, Ansible, Packer</li><li>Systems: Linux, Windows Server</li><li>Hardening (Security Hardening)</li><li>Patch Management</li><li>CI/CD: GitHub, GitLab, Jenkins</li><li>Containers: Docker, Kubernetes</li><li>Version Control: Git</li><li>Project Management: Jira, Confluence</li><li>Methodology: Scrum</li></ul><h2>Desired Qualities</h2><ul><li>Excellent analytical and design skills for complex Azure architectures.</li><li>Experience with Agile methodologies.</li><li>Fluent English proficiency.</li><li>Good communication and client needs understanding skills.</li><li>Leadership, initiative, and team spirit.</li><li>Strong adherence to Cloud culture and a desire to promote its benefits.</li></ul><p>If you possess the majority of these skills, we would be delighted to offer you a permanent contract and support you in your professional development.</p><p></p></section>

<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>

<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>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Responsible for steering the complete functional safety lifecycle for steering systems, from planning and analyses to traceability, release evidence and audit-ready reporting. Structured ISO 26262 / ASIL-D mindset and strong safety argumentation Confident moderation of analyses, reviews and supplier alignment Ownership-driven documentation, issue evaluation and release support Expertise Experience in functional safety for steering system development Plan, maintain and track safety activities and work products Create item definitions, HARA, safety concepts and safety cases Perform FMEDA, FTA, DFA, FMEA and software hazard analyses Maintain requirements traceability across system, hardware and software Prepare reviews, assessments and release recommendations Evaluate change requests, deviations and problem reports Coordinate suppliers, stakeholders and audit-ready documentation</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Minimum 5 years of experience in Automotive Functional Safety.</li><li>Experience in steering systems or other safety-critical automotive systems.</li><li>Strong knowledge of ISO 26262 processes, work products, and compliance activities.</li><li>Excellent analytical, communication, and documentation skills.</li><li>Ability to work effectively in a multi-disciplinary and international environment.</li><li>Languages English: Professional working proficiency (mandatory) German: Considered a strong asset / plus</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Responsible for the development, maintenance, and optimization of automated test environments, primarily in HiL / SiL setups with integration into toolchains and CI/CD processes. Ability to design automation, not only execute Debugging capability on: o signal level o communication level Experience in offshore collaboration with OEM customers</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>Qualifications</h2><h3>EXPERTISE</h3><ul><li>Develop automated test scripts and frameworks</li><li>Maintain and extend regression test suites</li><li>Analyze test results, logs and error patterns</li><li>Integrate test automation into CI/CD pipelines</li><li>Collaborate with test design and system teams</li><li>Optimize test execution efficiency and coverage</li><li>HiL and/or SiL environments automated regression testing</li><li>RestBus Simulation</li><li>XCP / CCP protocols</li><li>Automated signal validation</li><li>Automotive communication (CAN, LIN, Ethernet)</li></ul><h3>Languages</h3><ul><li>English: Professional working proficiency (mandatory)</li><li>German: Considered a strong asset / plus</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The Test Specification Engineer is responsible for the end-to-end definition and maintenance of test specifications, ensuring full traceability between requirements, test design, and validation results within complex automotive systems (focus: steering systems / ECU testing).</p><p>Ability to independently create test specifications</p><p>No reliance on detailed instructions</p><p>Experience working with European OEMs (VW preferred)</p><p>Strong documentation discipline</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Analyze system, software and safety requirements (ASIL relevant where applicable)</li><li>Create high-quality test specifications and test cases (HiL / SiL / Vehicle)</li><li>Ensure end-to-end traceability (Requirement Test Case Execution Result)</li><li>Review and optimize existing test specifications</li><li>Perform coverage analysis (requirements vs. test cases)</li><li>Support test strategy definition and refinement</li><li>Align with stakeholders (Germany / OEM / Suppliers)</li><li>Hands-on experience in at least one domain: ECU testing steering/braking systems vehicle control systems</li><li>Minimum 5 years of experience</li><li>Languages English: Professional working proficiency (mandatory)</li><li>German: Considered a strong asset / plus</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>In the context of consolidating the Manufacturing Support perimeter, we are looking for a Studies Engineer to provide support for SAP tools and vehicle coding activities within the teams. The consultant will work in an international environment and contribute to operational user support as well as the management of technical data related to vehicles.</p><p><strong>Main Missions</strong></p><ul><li>Provide Level 1 user support (incident management, requests, and ticketing).</li><li>Assist users on SAP tools and associated applications.</li><li>Create and control SAP objects via different transactions and Workplace.</li><li>Manage activities related to vehicle coding (LCDV, KMAT, characteristics).</li><li>Monitor requests via the functional Outlook mailbox.</li><li>Produce and track performance indicators (KPI) in Excel.</li><li>Identify recurring incidents, analyze their causes, and propose action plans.</li><li>Participate in escalation processes and contribute to Control Tower activities.</li><li>Manipulate and structure complex technical data.</li><li>Participate in the management of modification forms and dependency tables.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bac+5 (Engineering School or Master's Degree) in Computer Science, Information Systems, Industrial Engineering</li><li>1 to 3 years of experience</li></ul><p><strong>Technical Skills</strong></p><ul><li>Level 1 user support.</li><li>Mastery of SAP (object creation, transactions, controls, Workplace).</li><li>Good knowledge of vehicle coding (LCDV, KMAT, characteristics).</li><li>Knowledge of DocInfo and the principle of Applicable Document Lists (LDA).</li><li>Knowledge of Lean Management principles.</li><li>Mastery of Excel for KPI tracking and data analysis.</li><li>Good mastery of Outlook (functional mailbox management).</li><li>Knowledge of the Genome environment.</li><li>Experience in managing modification forms and vehicle technical data.</li><li>Ability to evolve in an international environment.</li></ul><p><strong>Languages</strong></p><ul><li>French: fluent.</li><li>English: mandatory.</li><li>Italian: imperative (Must).</li></ul><p><strong>Soft Skills</strong></p><ul><li>Excellent analytical and discernment skills.</li><li>Service-oriented and customer-focused.</li><li>Rigor and organization.</li><li>Strong adaptability.</li><li>Team spirit.</li><li>Good communication skills.</li><li>Proactive in continuous process improvement and incident resolution.</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 part of our growth and the strengthening of our Cloud &amp; Data teams, we are looking for a passionate Senior Azure DevOps Engineer who will play a key role in the automation, deployment, and operation of our data and application platforms in an Azure Cloud environment. You will work directly with the development and data engineering teams to design, implement, and maintain high-performing and secure CI/CD pipelines. Your Responsibilities: Implementing and optimizing automated CI/CD pipelines (GitLab CI, Azure DevOps, Jenkins) to ensure the quality, speed, and reliability of deployments. Managing Infrastructure as Code (IaC) using tools such as Terraform, Ansible, or Bicep to ensure consistent, scalable, and reproducible environment management. Architecture and administration of secure cloud environments, with strong expertise in Microsoft Azure (Azure App Services, AKS, Azure Monitor, Azure Key Vault), ensuring scalability, high availability, and cost control. Automation and performance monitoring via tools such as Grafana, Prometheus, Azure Monitor, and log and alert management (LogM, ELK). Active participation in Scrum ceremonies and fostering collaboration between Dev, Ops, security, and business teams. Implementation of DevSecOps practices, integrating automated security testing, compliance audits, and continuous vulnerability monitoring. Mentoring and knowledge sharing with teams, as well as contributing to a culture of continuous improvement and technology monitoring.</font></font></p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><font dir="auto" ><font dir="auto" >Your Profile: You hold a Master's degree (Bac+5) in Computer Science, or have significant experience. You have more than 5 years of experience in a DevOps role, with a strong focus on automation and agile methodologies. You have proven experience in leading Scrum projects and facilitating multidisciplinary teams. You are proficient in cloud architectures, particularly Microsoft Azure. You have a good understanding of DevOps tools: Terraform, Ansible, Git, Azure DevOps, Docker, Kubernetes, Helm. You are proficient in monitoring and collaboration tools: Grafana, LogM, Monday, Nautobot, Tuffin, AI C4, PVX.</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><font dir="auto" ><font dir="auto" >Job Description As a Support Engineer, your responsibilities will include: Planning support tasks. Performing support tasks. Providing customer support.</font></font></p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><font dir="auto" ><font dir="auto" >Profile: Candidates should hold a Master's degree (or equivalent) and have 2 years of experience in a similar role. They should be proficient in/familiar with the following technologies and tools: Knowledge of WebSphere deployment environments; Java/J2EE; and fluency in English (written and spoken).</font></font></p><p><font dir="auto" ><font dir="auto" >Your qualities are the key to your success; you are: Rigorous, a team player, adaptable and organized, possess excellent customer service skills, and a good listener. You are fluent in both written and spoken French and English.</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 the position We are looking for a Junior COBOL Engineer to join our technical teams and work on COBOL application development, analysis, and maintenance activities for our client. The role involves participating in the evolution and maintenance of third-party applications, analyzing functional requirements, developing and correcting COBOL programs, performing unit tests, and collaborating with functional and technical teams to ensure the reliability, performance, and sustainability of existing systems. Location: Casablanca Level: Master's degree (Computer Science, Software Engineering, Information Systems, or equivalent) Experience: 0-2 years Technical Skills: COBOL JCL SQL Relational Databases (DB2, Oracle, or equivalent) IBM Mainframe Environment (z/OS) Version Control Tools Basic knowledge of unit and technical acceptance testing CICS or IMS exposure is a plus Languages: French required Technical English appreciated. Your missions Participate in the development, evolution, and maintenance of COBOL applications, adhering to mainframe development standards and best practices. Contribute to the analysis of functional and technical requirements in collaboration with third-party and project teams. Develop, modify, and optimize COBOL programs and associated batch processes (JCL). Perform unit and integration tests to ensure the quality, reliability, and performance of applications.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Level: Master's degree (Computer Science, Software Engineering, Information Systems, or equivalent) Experience: 0-2 years Technical Skills: COBOL JCL SQL Relational Databases (DB2, Oracle, or equivalent) IBM Mainframe Environment (z/OS) Version Control Tools Basic knowledge of unit and technical acceptance testing CICS or IMS exposure is a plus Languages: French required Technical English appreciated.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The Methods &amp; Industrialization Engineer combines efficiency, rigor, and inventiveness to develop, define, and optimize manufacturing and production management methods. As a Methods &amp; Industrialization Engineer, your responsibilities will include: Assistance in training technical and production personnel on aeronautical parts. Monitoring the skills, authorizations, and qualifications of maintenance and methods teams. Complete management of technical documentation: creation, updating, distribution, and compliance with customer requirements and EN9100 standards. Production of industrial files and workflows. Monitoring the configuration of parts according to regulatory requirements. Tool management: registration, control, maintenance, and validation according to quality procedures. Preparation and participation in quality audits. Conducting technical inspections, FAI, customer acceptance, quality investigations, and corrective actions. Technical assistance to operators, problem-solving, definition of plans and sketches. Monitoring of charge transfers between CI (France) and CIM (Morocco) units. Participation in production operations (factory openings/closings, safety, hygiene, environment, energy). Supervision of technical teams: maintenance, methods, training. Organization of follow-up meetings and management of actions to be carried out.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bac+5 level education (Industrial Engineer, Process and Materials Engineering, Mechanical Engineering).</li><li>3 to 5 years of experience in a similar role.</li><li>Proficiency in the company's industrial processes.</li><li>Proficiency in the Microsoft Office suite.</li><li>Proficiency in Quality Standards EN9100, ISO9001.</li><li>Your interpersonal skills, curiosity, ability to propose solutions, and innovative mindset will enable you to succeed in your missions and thrive in this role.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><br></p> <div> <div> <div> <b><font dir="auto" ><font dir="auto" >Your mission:</font></font></b> </div> <div> <p><font dir="auto" ><font dir="auto" >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> <div> <p><font dir="auto" ><font dir="auto" >As a </font></font><strong><font dir="auto" ><font dir="auto" >Senior DevOps / SecOps Engineer</font></font></strong><font dir="auto" ><font dir="auto" > , you will be involved in various tasks such as:</font></font></p> <ul> <li><font dir="auto" ><font dir="auto" >Define and implement </font></font><strong><font dir="auto" ><font dir="auto" >secure cloud architectures</font></font></strong><font dir="auto" ><font dir="auto" > (AWS, Azure, GCP) in collaboration with architects and project teams.</font></font></li> <li><font dir="auto" ><font dir="auto" >Design, implement and maintain </font><font dir="auto" >robust and secure </font></font><strong><font dir="auto" ><font dir="auto" >CI/CD pipelines (GitLab CI, Jenkins, Azure DevOps).</font></font></strong><font dir="auto" ></font></li> <li><font dir="auto" ><font dir="auto" >Automate infrastructure provisioning via </font></font><strong><font dir="auto" ><font dir="auto" >Infrastructure as Code</font></font></strong><font dir="auto" ><font dir="auto" > tools (Terraform, Ansible, CloudFormation).</font></font></li> <li><font dir="auto" ><font dir="auto" >Deploy and manage containerized environments ( </font></font><strong><font dir="auto" ><font dir="auto" >Docker, Kubernetes</font></font></strong><font dir="auto" ><font dir="auto" > ) while ensuring performance, scalability and security.</font></font></li> <li><font dir="auto" ><font dir="auto" >Implementing </font></font><strong><font dir="auto" ><font dir="auto" >DevSecOps</font></font></strong><font dir="auto" ><font dir="auto" > best practices :</font></font><ul> <li><font dir="auto" ><font dir="auto" >Integration of security controls into the CI/CD chain (SAST, DAST)</font></font></li> <li><font dir="auto" ><font dir="auto" >Identity and Access Management (IAM)</font></font></li> <li>S curisation des secrets (Key Vault, Secrets Manager )</li> </ul> </li> <li><br></li> </ul> </div> </div> </div> <div> <div> <b><font dir="auto" ><font dir="auto" >Your profile:</font></font></b> </div> <div> <div> <ul> <li><font dir="auto" ><font dir="auto" >Diploma m (e) of a </font></font><strong><font dir="auto" ><font dir="auto" >Bac+5 in computer science</font></font></strong><font dir="auto" ><font dir="auto" > or equivalent.</font></font></li> <li><font dir="auto" ><font dir="auto" >Proven experience ( </font></font><strong><font dir="auto" ><font dir="auto" > 5-7 years</font></font></strong><font dir="auto" ><font dir="auto" > ) in </font></font><strong><font dir="auto" ><font dir="auto" >DevOps / SecOps</font></font></strong><font dir="auto" ><font dir="auto" > in cloud environments.</font></font></li> <li><font dir="auto" ><font dir="auto" >My mastery of Cloud platforms </font></font><strong><font dir="auto" ><font dir="auto" >: AWS, Azure and/or GCP</font></font></strong><font dir="auto" ><font dir="auto" > .</font></font></li> <li><font dir="auto" ><font dir="auto" >Solid expertise in </font></font><strong><font dir="auto" ><font dir="auto" >setting up and managing CI/CD pipelines</font></font></strong><font dir="auto" ><font dir="auto" > (GitLab CI, Jenkins, Azure DevOps, Git).</font></font></li> <li><font dir="auto" ><font dir="auto" >Good mastery of </font></font><strong><font dir="auto" ><font dir="auto" >Infrastructure as Code</font></font></strong><font dir="auto" ><font dir="auto" > and automation tools ( </font></font><strong><font dir="auto" ><font dir="auto" >Terraform, Ansible,&nbsp;</font></font></strong></li></ul></div></div></div></div></div></section>

<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 digital and software technology experts push boundaries 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 no two days are the same.</p><p>As part of our business development in the automotive sector, we are looking for a Full Stack Engineer passionate about new technologies and innovation.</p><p><strong>Your missions</strong></p><ul><li>Design, develop, and maintain web applications and platforms dedicated to automotive projects.</li><li>Develop high-performance and intuitive user interfaces.</li><li>Design and maintain back-end services and APIs.</li><li>Participate in the integration of cloud solutions and databases.</li><li>Collaborate with third-party teams, software, testing, and vehicle engineering teams.</li><li>Ensure the quality, security, and performance of applications.</li><li>Participate in code reviews and continuous improvement processes.</li></ul><p><strong>Why join us?</strong></p><ul><li>Innovative projects in the automotive industry</li><li>International and collaborative environment</li><li>Professional development opportunities</li><li>Continuous training and skills development</li></ul><p><strong>Our commitments and priorities:</strong></p><p>The Capgemini Group promotes an inclusive culture in a multicultural and disability-friendly environment. By joining us, you will 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 responsible and multicultural global leader, bringing together nearly 350,000 people in over 50 countries. With 55 years of experience, we are a strategic partner for companies in their business transformation 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><ul><li>Engineering degree or Master's degree (Bac+5) in Computer Science, Software Engineering, or equivalent field.</li><li>Proven experience in Full Stack development.</li><li>Proficiency in Front-End technologies: React, Angular, or Vue.js, HTML5, CSS3, JavaScript/TypeScript.</li><li>Proficiency in Back-End technologies: Java, .NET, Node.js, or Python.</li><li>Good knowledge of SQL and/or NoSQL databases.</li><li>Experience in developing REST APIs and microservices architectures.</li><li>Knowledge of Cloud environments (Azure, AWS, or GCP).</li><li>Experience in the automotive sector is a plus.</li><li>Good level of communication in French and English.</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" >As part of strengthening our Data teams, we are looking for profiles capable of designing, industrializing and optimizing data platforms (batch &amp; real-time) within distributed environments based on Cloudera.</font></font></p><p><font dir="auto" ><font dir="auto" >Your responsibilities:</font></font></p><p><font dir="auto" ><font dir="auto" >Development &amp; Industrialization</font></font></p><ul><li><font dir="auto" ><font dir="auto" >Develop massive data processing pipelines in PySpark (Batch and Real-Time / Streaming modes).</font></font></li><li><font dir="auto" ><font dir="auto" >Set up real-time streams via Kafka (topics, partitions, schemes, offsets) and ensure ingestion with NiFi.</font></font></li><li><font dir="auto" ><font dir="auto" >Model and optimize NoSQL schemas, especially on Cassandra (tables, keys, clustering, replication) and Hive.</font></font></li><li><font dir="auto" ><font dir="auto" >Integrate and transform data from multiple sources (APIs, databases, streams, files).</font></font></li></ul><p><font dir="auto" ><font dir="auto" >Quality, Performance &amp; Reliability</font></font></p><ul><li><font dir="auto" ><font dir="auto" >Deploy Data Quality mechanisms (controls, monitoring, alerting).</font></font></li><li><font dir="auto" ><font dir="auto" >Optimize Spark processing (partitioning, tuning, data formats) specifically for distributed architectures.</font></font></li><li><font dir="auto" ><font dir="auto" >To ensure the supervision and resolution of incidents in a production environment.</font></font></li></ul><p><font dir="auto" ><font dir="auto" >CI/CD &amp; Governance</font></font></p><ul><li><font dir="auto" ><font dir="auto" >Industrialize developments via CI/CD chains (automated testing, deployments).</font></font></li><li><font dir="auto" ><font dir="auto" >Documenting flows, models and best practices.</font></font></li><li><font dir="auto" ><font dir="auto" >Collaborating occasionally with third-party teams on Dataviz topics and collaborating with Data Scientists (particularly on customer segmentation algorithms).</font></font></li><li><font dir="auto" ><font dir="auto" >Contribute to data governance (catalogue, traceability, security).</font></font></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li><font dir="auto" ><font dir="auto" >Experience: ~4 years of experience in distributed environments and Big Data architectures.</font></font></li><li><font dir="auto" ><font dir="auto" >Architecture: Strong interest and significant experience in On-Premise infrastructures.</font></font></li><li><font dir="auto" ><font dir="auto" >Spark / PySpark: Essential mastery in Batch and Streaming processing.</font></font></li><li><font dir="auto" ><font dir="auto" >NoSQL: Confirmed experience on Cassandra and/or Hive</font></font></li><li><font dir="auto" ><font dir="auto" >Streaming &amp; Ingestion: Very good mastery of Kafka and NiFi</font></font></li><li><font dir="auto" ><font dir="auto" >Nice-to-have / Bonus: Good understanding of the Hadoop/HDFS ecosystem. Cloudera proficiency is a plus but remains optional.</font></font></li><li><font dir="auto" ><font dir="auto" >Concepts in Data Science (models of customer clustering/segmentation) and Dataviz tools.</font></font></li><li><font dir="auto" ><font dir="auto" >Tools &amp; DevOps: Skills in Git, CI/CD (GitLab CI) and an orchestration tool (Airflow, Luigi, Prefect).</font></font></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" >As Test Automation Lead, you will be responsible for the test automation strategy and the management of the QA teams. You will ensure application quality by developing robust testing frameworks and ensuring the implementation of best practices. Your responsibilities include: Defining and implementing the test automation strategy. Designing, developing, and maintaining automated testing frameworks. Managing and coordinating a team of testers (automation and functional). Developing test plans and executing automated test campaigns. Collaborating with development, DevOps, and business teams to guarantee the quality of deliverables. Continuously improving testing processes and integrating new technologies and tools. Analyzing test results and reporting anomalies. Monitoring technological advancements and recommending best practices in test automation.</font></font></p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2><font dir="auto" ><font dir="auto" >Required skills</font></font></h2><h3><font dir="auto" ><font dir="auto" >Technical skills</font></font></h3><ul><li><font dir="auto" ><font dir="auto" >Mastery of automation tools and frameworks: Playwright, Robot Framework</font></font></li><li><font dir="auto" ><font dir="auto" >Good knowledge of scripting languages: Python, Java</font></font></li><li><font dir="auto" ><font dir="auto" >Experience with test management tools (TestRail, Zephyr, Xray)</font></font></li><li><font dir="auto" ><font dir="auto" >Knowledge of CI/CD pipelines (Jenkins, GitLab CI/CD, Azure DevOps)</font></font></li><li><font dir="auto" ><font dir="auto" >Experience with REST APIs and their validation via automated tests</font></font></li><li><font dir="auto" ><font dir="auto" >Knowledge of Agile methodologies (Scrum, Kanban)</font></font></li></ul><h3><font dir="auto" ><font dir="auto" >Behavioral skills (Soft Skills)</font></font></h3><ul><li><font dir="auto" ><font dir="auto" >Leadership and ability to manage a team.</font></font></li><li><font dir="auto" ><font dir="auto" >Analytical and problem-solving skills.</font></font></li><li><font dir="auto" ><font dir="auto" >Good communication and teaching skills.</font></font></li><li><font dir="auto" ><font dir="auto" >Rigour and attention to detail.</font></font></li><li><font dir="auto" ><font dir="auto" >Ability to work in a team and collaborate with different stakeholders.</font></font></li></ul><h2><font dir="auto" ><font dir="auto" >Qualifications</font></font></h2><h3><font dir="auto" ><font dir="auto" >Desired profile</font></font></h3><ul><li><font dir="auto" ><font dir="auto" >Education: Bac+5 in Computer Science, Software Engineering or equivalent.</font></font></li><li><font dir="auto" ><font dir="auto" >Experience: 5-10 years in testing, including significant experience in automation and team leadership.</font></font></li><li><font dir="auto" ><font dir="auto" >Languages: French and English (technical) required.</font></font></li></ul><h2><font dir="auto" ><font dir="auto" >Benefits</font></font></h2><ul><li><font dir="auto" ><font dir="auto" >Dynamic and innovative work environment.</font></font></li><li><font dir="auto" ><font dir="auto" >Opportunities for training and skills development.</font></font></li><li><font dir="auto" ><font dir="auto" >Part-time work is possible depending on the position.</font></font></li><li><font dir="auto" ><font dir="auto" >Participation in tech conferences and events.</font></font></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" >As part of strengthening our Data teams, we are looking for profiles capable of designing, industrializing and optimizing data platforms (batch &amp; real-time) within distributed environments based on Cloudera.</font></font></p><p><font dir="auto" ><font dir="auto" >Your responsibilities:</font></font></p><p><font dir="auto" ><font dir="auto" >Development &amp; Industrialization</font></font></p><ul><li><font dir="auto" ><font dir="auto" >Develop massive data processing pipelines in PySpark (Batch and Real-Time / Streaming modes).</font></font></li><li><font dir="auto" ><font dir="auto" >Set up real-time streams via Kafka (topics, partitions, schemes, offsets) and ensure ingestion with NiFi.</font></font></li><li><font dir="auto" ><font dir="auto" >Model and optimize NoSQL schemas, especially on Cassandra (tables, keys, clustering, replication) and Hive.</font></font></li><li><font dir="auto" ><font dir="auto" >Integrate and transform data from multiple sources (APIs, databases, streams, files).</font></font></li></ul><p><font dir="auto" ><font dir="auto" >Quality, Performance &amp; Reliability</font></font></p><ul><li><font dir="auto" ><font dir="auto" >Deploy Data Quality mechanisms (controls, monitoring, alerting).</font></font></li><li><font dir="auto" ><font dir="auto" >Optimize Spark processing (partitioning, tuning, data formats) specifically for distributed architectures.</font></font></li><li><font dir="auto" ><font dir="auto" >To ensure the supervision and resolution of incidents in a production environment.</font></font></li></ul><p><font dir="auto" ><font dir="auto" >CI/CD &amp; Governance</font></font></p><ul><li><font dir="auto" ><font dir="auto" >Industrialize developments via CI/CD chains (automated testing, deployments).</font></font></li><li><font dir="auto" ><font dir="auto" >Documenting flows, models and best practices.</font></font></li><li><font dir="auto" ><font dir="auto" >Collaborating occasionally with third-party teams on Dataviz topics and collaborating with Data Scientists (particularly on customer segmentation algorithms).</font></font></li><li><font dir="auto" ><font dir="auto" >Contribute to data governance (catalogue, traceability, security).</font></font></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2><font dir="auto" ><font dir="auto" >Qualifications</font></font></h2><p><font dir="auto" ><font dir="auto" >Experience: ~4 years of experience in distributed environments and Big Data architectures.</font></font></p><p><font dir="auto" ><font dir="auto" >Architecture: Strong interest and significant experience in On-Premise infrastructures.</font></font></p><p><font dir="auto" ><font dir="auto" >Spark / PySpark: Essential mastery in Batch and Streaming processing.</font></font></p><p><font dir="auto" ><font dir="auto" >NoSQL: Confirmed experience on Cassandra and/or Hive</font></font></p><p><font dir="auto" ><font dir="auto" >Streaming &amp; Ingestion: Very good mastery of Kafka and NiFi</font></font></p><p><font dir="auto" ><font dir="auto" >Nice-to-have / Bonus:</font></font></p><ul><li><font dir="auto" ><font dir="auto" >Good understanding of the Hadoop/HDFS ecosystem. Mastery of Cloudera is a plus but remains optional.</font></font></li><li><font dir="auto" ><font dir="auto" >Concepts in Data Science (models of customer clustering/segmentation) and Dataviz tools.</font></font></li><li><font dir="auto" ><font dir="auto" >Tools &amp; DevOps: Skills in Git, CI/CD (GitLab CI) and an orchestration tool (Airflow, Luigi, Prefect).</font></font></li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Develop technical documentation for new projects and update AMDE/PFMEA during product development. Define process parameters using SPC and Design of Experiments (DOE) for assembly lines. Manage tightening programs and camera tasks for assembly lines; create and manage work centers in SAP. Validate new assembly lines according to MTA specifications via R@R protocols. Organize production activities to meet cycle time objectives and maintain an up-to-date plant layout. Implement technical modifications and Group standards in accordance with Customer Specific Requirements (CSR). Develop technical solutions to reduce defects and improve detection/occurrence rates.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Engineering degree in Mechanical, Electrical, or Industrial Engineering.</li><li>Minimum of 2 years of experience in the Automotive sector; strong knowledge of SAP.</li><li>Proficiency in SolidWorks, AutoCAD, or similar design tools.</li><li>Advanced mastery of Excel/VBA for process analysis.</li><li>Strong grasp of problem-solving tools and technical documentation (PFMEA, SPC, MSA).</li><li>Knowledge of automation, process control, and metallurgy (electricity/electronics).</li><li>Good communication skills in both English and French.</li><li>Dynamic, rigorous, with strong analytical skills and the ability to work cross-functionally with production, maintenance, and quality teams.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Design, develop, and maintain embedded software unit testing for automotive ECUs Integrate software components into ECU platforms and ensure compatibility with hardware and vehicle network constraints. Perform root cause analysis on software defects, communication issues, and ECU malfunctions. Use diagnostic tools such as CANoe, CANalyzer, UDS (ISO 14229), DoIP, OBD II , and vehicle logs to identify issues. Use flashing tool to Flash the SW in the ECUs Develop and validate UDS diagnostic services , DTCs (Diagnostic Trouble Codes), and fault memory strategies. Analyze communication traces (CAN, LIN, FlexRay, Ethernet) to detect anomalies or performance issues. Support integration tests on benches, HIL systems, and in-vehicle testing. Ensure compliance with automotive standards such as AUTOSAR , ISO 26262 (functional safety) , ASPICE , and cybersecurity principles. Create and maintain documentation (SRS, SDD, design reviews, traceability matrices). Collaborate with testing teams to define validation strategies and ensure robust test coverage.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Engineering degree (Master s level, Bac+5) in Embedded Systems, Electronics, or equivalent. Strong skills in technical coordination, planning, and risk management. Excellent communication skills and strong team spirit. Professional level of English required. Proficiency in embedded C/C++ programming and real time systems. Strong knowledge of in vehicle communication protocols (CAN, LIN, FlexRay, Ethernet). Experience with diagnostic standards and tools: UDS (ISO 14229), ISO 15765, OBD II Vector tools (CANalyzer, CANoe, CANape) Ability to interpret logs, traces, and memory dumps for precise diagnostic analysis. Familiarity with AUTOSAR stacks (Classic or Adaptive). Experience with development processes following ASPICE or V Model.</p><p></p></section>