Python Developer Jobs in Morocco
287 Jobs Found
<p>Integration within the Core Team - Infra & DevSecOps (team of 8-12 people: 5 OPS, 2 RUNOPS, 1 SECOPS), as a replacement, within a senior-level team with a Tech Lead. Design and maintenance of automated CI/CD pipelines (GitLab CI), provisioning of resources via Terraform (IaC), deployment of containerized environments. Contribution to the industrialization and automation of the build phase for all application platforms on GCP (5 projects).</p><p><strong>Desired Candidate Profile</strong></p><p>Bac+5 (Engineering school or university) in computer science, or equivalent experience. More than 7 years of experience in DevOps Administrator / SRE Kubernetes GCP. Experience in the retail/mass distribution sector is a plus. Must Have: GCP Cloud & containerization expertise; Infrastructure as Code (IaC) & CI/CD (Terraform, GitLab CI); scripting and AI automation (Python, Bash). Nice to Have: Gemini & MCP AI ecosystem; banking security constraints; CI/CD security tools.</p>
<p>You enjoy analyzing, structuring, and transforming data into decisions? Join us! As part of the reinforcement of our WFM and Reporting Department, we are recruiting a Reporting Coordinator. Do you want to evolve in an environment where Data, automation, and performance management are at the heart of the challenges? This opportunity is for you!</p><p>Your main missions:</p><ul><li>Supervise and support a team of Reporting Officers.</li><li>Ensure the quality, reliability, and availability of reports.</li><li>Optimize and automate production processes.</li><li>Design and evolve steering dashboards.</li><li>Collaborate with the IT and Data teams.</li><li>Lead continuous improvement projects.</li></ul><p>Ready to take on the challenge? Join us and help make data speak!</p><p><br></p><p><strong>Desired Candidate Profile</strong></p><ul><li>Experience in Reporting, Business Intelligence, or Data.</li><li>A first experience in management is a real asset.</li><li>Excellent analytical, organizational, and teamwork skills.</li><li>Good command of SQL, Power BI, and advanced Excel.</li><li>Good command of Python, VBA, Looker, and/or BigQuery.</li></ul>
<p>Collaborate with senior data engineers to design, build, and maintain data pipelines and ETL processes. Analyze functional and technical requirements Implement developments on GCP (BigQuery, Cloud Run, Pub Sub, Cloud Function, ). Assist in the integration and transformation of data from various sources. Contribute to the optimization and performance tuning of existing data pipelines. Assist in the development and maintenance of data warehouses and databases. Collaborate with data analysts and data scientists to ensure data availability and reliability. Document and communicate data engineering processes and best practices.</p><p><strong>Desired Candidate Profile</strong></p><p>Enrolled in a Bachelor's or Master's program in Computer Science, Data Science, or a related field. Strong interest in data engineering and data technologies. Strong skills in SQL and Python are a must have. Familiarity with GCP (Google Cloud Platform). Good skills in Looker and Terraform are required. Good problem-solving skills and attention to detail. Strong communication and teamwork abilities.</p>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>The Technical Specialist Java/Python is responsible for developing the functionalities of various applications and maintaining them in operational condition. Specialized in his field, he intervenes directly on all or part of the project.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Analyze, advise, and make recommendations to improve the efficiency and effectiveness of the technical solutions implemented.</li><li>Ensure code quality, perform tests for all developed functionalities, and be responsible for their quality.</li><li>Identify risks and seize opportunities related to their area of expertise, communicate them to the appropriate stakeholders in the project, and recommend action plans.</li><li>Participate in the development and revision of technical standards/documentation within the project framework.</li><li>Take responsibility for research and development projects and consulting missions.</li><li>Stay updated on technologies in their field of expertise and propose new technical directions in line with the latest developments.</li><li>Conduct internal and external training sessions.</li><li>Act as a technical referent for one or more technologies.</li><li>Manage reporting and dashboards.</li></ul><p></p></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><div> <div> <div> Missions <br></div> <div> <p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">The </font></font><strong><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Java/Python Technical Specialist</font></font></strong><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;"> is responsible for developing the functionalities of various applications and maintaining them in operational condition. Specializing in their field, they are directly involved in all or part of the project.</font></font></p> </div> </div> <div> <div><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Search profile </font></font><br></div> <div> <p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Activities:</font></font></p> <p> <b><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Application development and maintenance:</font></font></b> <br><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;"> Analyze, advise, and make recommendations to improve the efficiency and effectiveness of implemented technical solutions; </font></font><br><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;"> Ensure code quality, perform tests for all developed functionalities, and guarantee their quality; </font></font><br><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;"> Identify risks and seize opportunities related to one's area of expertise, communicate them to the appropriate stakeholders in the project, and recommend action plans; </font></font><br><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;"> Participate in the development and revision of standards/technical documentation within the project framework; </font></font><br><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;"> Take responsibility for research and development projects and consulting missions; </font></font><br><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;"> Stay informed about technologies in one's area of expertise and propose new technical directions in line with the latest developments; </font></font><br><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;"> Conduct internal and external training; </font></font><br><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;"> Serve as a technical expert on one or more technologies; </font></font><br><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;"> Manage reporting and dashboards.</font></font></p> </div> </div> </div></div></section>
<h2 class="h5">Job description</h2>
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<br> Company culture : <p><strong>Leyton</strong> stands out for a <strong>strongly cooperative and people-centered culture</strong>, where trust, collaboration and employee well-being are key pillars. The company promotes a close management approach focused on support, empowerment and high-quality team relationships. This collaborative foundation is complemented by a <strong>significant innovation dimension</strong>, fostering initiative, creativity and agility. Competitive and organizational cultures play a more secondary role, providing structure, performance orientation and operational efficiency.
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<br> Job : <p>First and foremost a seasoned Software Engineer, you master the design and development of robust production-grade applications. You integrate AI capabilities - LLMs, agents, RAG - into the systems you build, without being a data scientist. You may work on two types of contexts: internal Leyton CognitX projects (Java/Spring Boot), or assignments for large enterprise clients in varied stacks (Python, Node.js/TypeScript or other). The allocation is determined based on business needs and activity.</p><br><br><p><em><strong>Key Responsibilities</strong></em></p><br><br><p><strong>Software Engineering - Core of the Role</strong></p><br><br><p>• Design and develop complete end-to-end features: APIs, business logic, unit and integration tests, deployment.</p><br><br><p>• Ensure code quality: SOLID principles, design patterns, clean architecture, code reviews, SonarQube.</p><br><br><p>• Build and maintain robust REST APIs - versioning, security, error handling, performance.</p><br><br><p>• Work in CI/CD environments: Git flow, PR reviews, automated pipelines, regression testing.</p><br><br><p>• Ensure scalability and security of production systems.</p><br><br><p><strong>AI Integration - Expected Capability</strong></p><br><br><p>• Integrate LLMs into business applications: OpenAI, Anthropic, Mistral - via API, with token, cost, and latency management.</p><br><br><p>• Build RAG pipelines: chunking, embedding, vector stores, retrieval - as a component of a larger application.</p><br><br><p>• Implement LLM agents with LangChain / LangGraph for automated workflows.</p><br><br><p>• Measure and evaluate the quality of AI outputs integrated into the product (RAGAS, custom metrics, monitoring).</p><br><br><p><strong>Leadership & Collaboration</strong></p><br><br><p>• Mentor junior and mid-level engineers - code reviews, technical mentoring, sharing best practices.</p><br><br><p>• Work directly with clients / product owners: gather requirements, present technical solutions, adapt communication style.</p><br><br><p>• Participate in architecture decisions and define the team's technical standards.</p><br><br><p><strong>Project Planning & Delivery</strong></p><br><br><p>• Translate business needs into robust and well-architected technical solutions.</p><br><br><p>• Break down strategic objectives into manageable tasks, estimate workloads, and define clear delivery roadmaps.</p><br><br><p>• Drive feature delivery on time, aligned with product and business objectives.</p><br><br><p>• Track and help resolve technical blockers to maintain team efficiency.</p><br><br><p>• Prepare and validate deliverables, ensuring smooth delivery aligned with business goals.</p><br><br> <br> <br> Required profile : <p><em><strong>Ideal Candidate Profile</strong></em></p><br><br><p>• 3 to 5 years of experience in software development - you are above all a solid Software Engineer.</p><br><br><p>• Proficiency in Java/Spring Boot for internal projects, and ability to switch to Python or Node.js/TypeScript for client assignments.</p><br><br><p>• Proven hands-on experience integrating LLMs into applications (production systems, not just notebooks).</p><br><br><p>• Ability to manage multiple projects simultaneously and prioritize effectively.</p><br><br><p>• Problem-solving mindset: brute force -> optimization -> edge cases - able to think out loud.</p><br><br><p>• Curiosity for applied AI, practical sense: you assess what does or does not warrant using AI in a system.</p><br><br><p>• Strong client communication skills and ability to mentor junior profiles.</p><br><br><p><em><strong>What We Offer</strong></em></p><br><br><ul><li>Opportunities for professional development and advancement within a growing organization.</li><li>Involvement in large-scale worldwide projects spanning over 18 countries, providing exposure to diverse cultures and environments.</li><li>Collaborative and challenging work environment, surrounded by brilliant collaborators who inspire continuous improvement and innovation.</li><li>TechlabWay career growth path, offering opportunities for career advancement and skill development.</li><li>Modern and stylish office environment equipped with cutting-edge technologies.</li><li>Access to the latest technologies and tools, working on the forefront of innovation in the industry.</li></ul> <br><br> </div>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p><font dir="auto" ><font dir="auto" >Context: As part of our project, we are recruiting an Analytics and AI Architect to strengthen our Analytics and AI Services department in Casablanca. Responsibilities: Design end-to-end data architectures (data lakes, lakehouses, warehouses, streaming pipelines); Define standards for data modeling, storage, ingestion, and transformation; Architect the MLOps infrastructure and AI deployment (model registries, CI/CD ML, monitoring); Lead technical choices on cloud platforms (Azure, AWS, GCP) and open-source tools; Define best practices and reusable frameworks for data teams; Act as a technical mentor and reviewer on cross-functional projects; Facilitate architecture workshops with client stakeholders; Translate business needs into scalable technical blueprints; Present architectural decisions to technical teams and management committees; Participate in pre-sales activities (technical scoping, cost estimation).</font></font></p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Master en informatique, data engineering, software engineering ou math matiques appliqu es</li><li>Anglais courant + une autre langue (fran ais, arabe, espagnol, allemand)</li><li>6+ ans d exp rience technique en architecture data ou domaine connexe</li><li>Exp rience av r e en environnement conseil ou services multi-clients</li><li><font dir="auto" ><font dir="auto" >Technical Skills: Data Architecture & Platforms Large-scale data platform design (Databricks, Snowflake, BigQuery, Azure Synapse, Redshift) Advanced SQL and Python / Scala / Spark Big Data ecosystem: Hadoop, Spark, PySpark, Hive Streaming architectures (Kafka, Flink, Spark Streaming) AI & ML Infrastructure ML lifecycle tooling: MLflow, Kubeflow, SageMaker, Azure ML MLOps architectures (versioning, ML CI/CD, monitoring, drift detection) GenAI / LLM integration patterns (RAG, vector databases, prompt pipelines) Data Engineering & Deployment Orchestration: Airflow, dbt Containerization: Docker, Kubernetes Version control: Git, GitHub, GitLab Cloud: AWS, Azure or GCP Governance & Standards Data catalogs, traceability (lineage), access control, BI quality management: Power BI, Tableau, Looker (mantic layer)</font></font></li></ul><p></p></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p><br></p><p> <br> <b>Responsibilities</b> </p> <ul> <li> <p> <b>Assist in wrangling data using Salesforce, SQL, Snowflake, and Tableau</b> to discover patterns, correlate findings, and measure the impact on the business and key metrics</p> </li> <li> <p> <b>Create interactive</b> and intuitive <b>visualisations using Tableau</b> </p> </li> <li> <p>Develop a deep understanding of enterprise data and operational details of the business (e.g. f<b>orecasting, pipeline, bookings,</b> data quality)</p> </li> <li> <p>Automate manual reporting processes and improve data quality</p> </li> <li> <p> <b>Troubleshoot data issues</b>/inconsistencies and bugs, and recommend/make enhancements to existing dashboards/reports</p> </li> <li> <p>Partner with and <b>consult Professional Services sellers and sales leadership</b> to provide accurate data/information and make recommendations for how to run the business</p> </li> </ul> <p> <br> <b>Required Qualifications:</b> </p> <ul> <li> <p>English fluency</p> </li> <li> <p>2+ years of experience in business intelligence, analytics/reporting, data analysis</p> </li> <li> <p> <b>Hands-on experience with Data Modelling, Relational Databases, SQL, Tableau</b>, and <b>Google Sheets/Excel, Python</b> </p> </li> <li> <p>Know how to <b>extract, manipulate and transform data</b> </p> </li> <li> <p>Able to translate complex technical results into clear, actionable insights</p> </li> <li> <p> <b>Cross-functional collaboration </b>with teams and personas such as <b>sellers, sales leaders</b>, commercial officers, <b>sales enablement</b>, <b>produc</b>t, data engineering</p> </li> <li> <p>Ability to quickly grasp technological and business concepts</p> </li> <li> <p> <b>Problem Solving: </b>Proven ability to identify issues and develop creative solutions.</p> </li> <li> <p> <b>Adaptability:</b> Comfortable working both independently and as part of a collaborative team</p> </li> <li> <p> <b>Multi-tasking: </b>Skilled at managing multiple priorities and tasks simultaneously</p> </li> <li> <p> <b>Resilience: </b>Ability to maintain high performance in a fast-paced, high-pressure environment</p> </li> </ul> <p> <br> <b>Preferred Qualifications:</b> </p> <ul> <li> <p>Additional technologies: <b>Gemini, Claude, NotebookLM, Github, APIs, Sagemaker, Snowflake, Cloud Computing</b> </p> </li> <li> <p>Taking part in<b> AI/ML initiatives</b> </p> </li> <li> <p>Knowledge of Salesforce products, platform features, and capabilities</p> </li> <li> <p> <b>Sales/GTM knowledge</b> </p> </li> <li> <p>Background in professional services or SaaS industry</p> </li> <li> <p>Bachelor s degree (or equivalent) in related field</p> </li> <li> <p><br></p></li></ul> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p></div></section>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p><font dir="auto" ><font dir="auto" >As a Java Backend expert, you are responsible for the robustness, scalability, and performance of backend services. You are involved in the entire application lifecycle, from architectural design to production deployment in containerized environments. Your mastery of Kubernetes and the Linux ecosystem allows you to ensure seamless integration between code and infrastructure.</font></font></p>
<p><strong>Responsabilit s Cl s</strong></p>
<ul>
<li><font dir="auto" ><font dir="auto" >Design & Architecture: Designing highly available, scalable and secure microservices architectures.</font></font></li>
<li><font dir="auto" ><font dir="auto" >Development: Produce clean, testable and performant code using the latest versions of Java and Spring Boot.</font></font></li>
<li><font dir="auto" ><font dir="auto" >DevOps & Deployment: Managing service orchestration under Kubernetes (deployment management, services, ingress, and configmaps).</font></font></li>
<li><font dir="auto" ><font dir="auto" >System Optimization: Diagnose and resolve performance issues at the JVM and Linux OS level.</font></font></li>
<li><font dir="auto" ><font dir="auto" >Quality & Security: Guarantee optimal test coverage (unit, integration) and ensure the security of flows (OAuth2, JWT).</font></font></li>
<li><font dir="auto" ><font dir="auto" >Mentoring: Supporting the skills development of junior developers and leading code reviews</font></font></li>
</ul>
<p><strong>Comp tences Techniques</strong></p>
<p>Expertise Java Frameworks</p>
<ul>
<li>Java</li>
<li>Spring Ecosystem : Spring Boot 3, Spring Security, Spring Data JPA, Spring Cloud.</li>
<li>Persistance : PostgreSQL, MongoDB ou bases de donn es NoSQL.</li>
<li><font dir="auto" ><font dir="auto" >Messaging: Kafka, RabbitMQ or Pulsar.</font></font></li>
</ul>
<p>Infrastructure Cloud-Native</p>
<ul>
<li><font dir="auto" ><font dir="auto" >Kubernetes (K8S): Mastery of K8S objects, Helm charts, pod troubleshooting, resource management (limits/requests).</font></font></li>
<li>Conteneurisation : Docker (optimisation d images, s curit ).</li>
<li>Observabilit : Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana).</li>
</ul>
<p><font dir="auto" ><font dir="auto" >System & Environment</font></font></p>
<ul>
<li><font dir="auto" ><font dir="auto" >Linux: Mastery of the command line, scripting (Bash/Python), permission management and system log analysis.</font></font></li>
</ul>
<p><font dir="auto" ><font dir="auto" >CI/CD : GitLab CI, Jenkins or GitHub Actions</font></font></p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><font dir="auto" ><font dir="auto" >Education: Bac + 5 (Master's degree or engineering school) in information systems</font></font></p>
<ul>
<li><font dir="auto" ><font dir="auto" >Experience: Minimum 6 years in a similar position</font></font></li>
<li><font dir="auto" ><font dir="auto" >Rigour and precision: attention to detail and a critical analytical mind.</font></font></li>
<li><font dir="auto" ><font dir="auto" >Autonomy: Able to manage priorities and work proactively.</font></font></li>
<li><font dir="auto" ><font dir="auto" >Communication: Excellent communication skills, both written and oral.</font></font></li>
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<h2 class="h5">Job description</h2>
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<p><strong>Contexte :</strong></p><br><p>Dans le cadre d’un projet de migration vers le cloud Azure, nous recherchons pour notre client un(e) Data Engineer capable de concevoir, développer et optimiser des pipelines de données robustes et scalables, au sein d’un environnement Big Data basé sur une architecture Médaillon (Azure Synapse Analytics, Apache Spark, Python/SQL).</p><br><ul><li><strong>Démarrage :</strong> ASAP</li><li><strong>Localisation :</strong> Casablanca, Maroc</li></ul><p><strong>Missions :</strong></p><br><ul><li>Concevoir et développer des pipelines d’ingestion et de transformation de données</li><li>Participer à la mise en place et à l’évolution d’une architecture Data Médaillon (Bronze/Silver/Gold)</li><li>Développer des traitements Big Data avec Spark (PySpark / Spark SQL)</li><li>Industrialiser les flux de données sur Azure Synapse Analytics</li><li>Optimiser les performances des traitements et des requêtes SQL</li><li>Assurer la qualité, la fiabilité et la traçabilité des données</li><li>Mettre en place des mécanismes de monitoring et d’alerting</li><li>Participer aux choix d’architecture technique et aux bonnes pratiques Data Engineering</li><li>Collaborer avec les équipes Data, BI, Data Scientist et métiers</li><li>Participer aux phases de recette, de déploiement et de support</li></ul><p><strong>Compétences techniques requises :</strong></p><br><p><strong>Cloud & Data Platform</strong></p><br><ul><li>Azure Synapse Analytics</li><li>Databricks</li><li>Azure Data Lake Storage (ADLS)</li><li>Azure Data Factory (ADF) – apprécié</li><li>Architecture Data Lakehouse</li></ul><p><strong>Big Data</strong></p><br><ul><li>Apache Spark, Spark SQL, PySpark</li><li>Optimisation des traitements distribués</li></ul><p><strong>Développement</strong></p><br><ul><li>Python, SQL avancé, gestion des performances SQL</li></ul><p><strong>Architecture Data</strong></p><br><ul><li>Architecture Medallion (Bronze / Silver / Gold)</li><li>Modélisation de données, gestion des flux batch</li></ul><p><strong>Outils & Méthodologies</strong></p><br><ul><li>Git</li><li>CI/CD – apprécié</li></ul><p><strong>Atout majeur :</strong></p><br><ul><li>Expérience avec l’IA générative, notamment <strong>Claude Code</strong> (très grand plus)</li></ul><p><strong>Profil recherché :</strong></p><br><ul><li>Formation supérieure (Bac+5 en informatique, data ou équivalent)</li><li>Expérience confirmée en Data Engineering sur Azure</li><li>Maîtrise des pipelines Spark et de l’architecture Medallion</li><li>Autonomie, rigueur, capacité à travailler en équipe agile</li></ul>
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<p>V&V Engineer is responsible for planning, executing, and coordinating Verification & Validation activities for the ALSTOM, a safety-critical onboard signalling system used in ETCS/ERTMS railway applications. The role ensures that system requirements are correctly implemented, tested, validated, and compliant with railway safety standards throughout the V-cycle development process.</p><p>Key Responsibilities</p><ul><li><strong>Verification Activities</strong></li><ul><li>Review and analyze system, software, and hardware requirements.</li><li>Ensure requirements are clear, testable, traceable, and compliant with project standards.</li><li>Participate in requirements reviews and design reviews.</li><li>Maintain requirement-to-test traceability.</li></ul><li><strong>Validation Activities</strong></li><ul><li>Define validation strategies, test plans, and test procedures.</li><li>Create and execute functional, integration, regression, and system-level tests.</li><li>Validate EVC3 functionalities against ETCS/ERTMS specifications.</li><li>Support customer acceptance and project validation milestones.</li></ul><li><strong>Test Execution & Analysis</strong></li><ul><li>Execute tests on EVC test benches and simulation environments.</li><li>Analyze test results and identify anomalies.</li><li>Raise, track, and verify defect corrections.</li><li>Produce validation reports and test documentation.</li></ul><li><strong>Project Coordination (PRIME Role)</strong></li><ul><li>Lead and coordinate V&V activities within the project.</li><li>Interface with System, Software, Hardware, Safety, and Project teams.</li><li>Monitor V&V progress, risks, and deliverables.</li><li>Support project reviews and technical decision-making.</li></ul></ul><p>Required Technical Skills</p><ul><li>Knowledge of ERTMS/ETCS signalling systems .</li><li>Understanding of EVC (European Vital Computer) architecture and railway onboard signalling.</li><li>Experience with the V-cycle development process .</li><li>Requirement management tools (e.g., DOORS).</li><li>Test management and defect tracking tools.</li><li>Linux environment.</li><li>Scripting/automation (Python is often appreciated).</li><li>Configuration and test bench management.</li></ul><p>Qualifications</p><ul><li>Bachelor's or Master's degree in:</li><ul><li>Electronics Engineering</li><li>Computer Engineering</li><li>Telecommunications</li><li>Railway Systems Engineering</li><li>Embedded Systems</li></ul><li>Experience in:</li><ul><li>Verification & Validation</li><li>Railway signalling</li><li>Safety-critical systems</li><li>Embedded software testing</li></ul></ul><p>Key Competencies</p><ul><li>Analytical thinking</li><li>Problem-solving</li><li>Attention to detail</li><li>Leadership and coordination</li><li>Communication with multidisciplinary teams</li><li>Ability to work in a safety-critical environment</li><li>Autonomy and stakeholder management</li></ul><p>Typical Deliverables</p><ul><li>V&V Strategy and Test Plan</li><li>Test Specifications and Test Cases</li><li>Test Execution Reports</li><li>Defect Reports / Change Requests</li><li>Validation Summary Reports</li><li>Requirements Traceability Matrix (RTM)</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's or Master's degree in: Electronics Engineering, Computer Engineering, Telecommunications, Railway Systems Engineering, Embedded Systems</li><li>Experience in: Verification & Validation, Railway signalling, Safety-critical systems, Embedded software testing</li><li>Analytical thinking</li><li>Problem-solving</li><li>Attention to detail</li><li>Leadership and coordination</li><li>Communication with multidisciplinary teams</li><li>Ability to work in a safety-critical environment</li><li>Autonomy and stakeholder management</li></ul>
<h2 class="h5">Job description</h2>
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<br> Company culture : <p><strong>Alten Maroc </strong>is defined by a deeply <strong>collaborative</strong> culture, focused on people, trust, and strong team support, with hands-on managers who guide and develop talent.<br>
This environment is enhanced by a strong drive for <strong>innovation</strong>, encouraging creativity, initiative, and experimentation across projects.<br>
A structured and disciplined organization ensures <strong>efficiency</strong>, rigor, and quality in engineering delivery.<br>
<strong>Performance</strong> and ambition are part of the culture as well, supporting collective success while maintaining a positive and caring atmosphere.
</p><br><br>
<br> Job : <p>The Data Platform implements a "Data Centric" architecture, the reference point for data in the IS to break down the company's information silos.</p><br><br><p>It provides this data via <strong>APIs</strong> to the entire ecosystem to generalize its processing and real-time consultation, and it simplifies and speeds up the analytical processing of our data to converge operational and decision-making processes.</p><br><br><p>Integrated into the Data Platform teams, the consultant will be responsible for:</p><br><br><ul><li><p>Participating in the implementation and continuous improvement of data pipelines using DevOps technologies such as <strong>Kubernetes, GCP, or Kafka</strong>.</p><br><br></li><li><p>Being in charge of <strong>deployment automation</strong>, <strong>performance monitoring</strong>, and <strong>incident management</strong>.</p><br><br></li><li><p>Working closely with <strong>development and infrastructure</strong> teams to ensure the <strong>reliability and scalability</strong> of data platforms.</p><br><br></li></ul> <br> <br> Required profile : <p>Degree level Bac+5 in Computer Science</p><br><br><p><u><strong>Experience:</strong></u> More than <strong>7 years</strong></p><br><br><p><u><strong>Required Skills:</strong></u></p><br><br><ul><li><p>Mastery of <strong>GCP</strong> (Google Cloud Platform) technologies such as Google Kubernetes Engine (GKE), Cloud Storage, Cloud <strong>SQL</strong>, and Cloud Monitoring.</p><br><br></li><li><p>In-depth mastery of Apache <strong>Kafka</strong>, from advanced configuration (partitioning, replication, compaction) to production operation, including performance tuning, fine-grained topic and offset management, security implementation (TLS, SASL, ACL), and integration with monitoring tools like Prometheus and Grafana</p><br><br></li><li><p>Solid experience with <strong>Kubernetes</strong>, including cluster creation and management, application deployment, and performance monitoring.</p><br><br></li><li><p>Comfortable with <strong>DevOps concepts</strong>, such as continuous integration (CI) and continuous delivery (CD), and associated tools.</p><br><br></li><li><p>Knowledge of security best practices and access policy implementation.</p><br><br></li><li><p>Understanding of basic relational database concepts.</p><br><br></li><li><p>Mastery of scripting languages (bash, <strong>Python</strong>, etc.).</p><br><br></li><li><p><strong>Analytical skills</strong> and continuous improvement: Ability to evaluate code and its impacts, as well as to question existing solutions to improve them.</p><br><br></li><li><p>Ability to work autonomously and manage time effectively.</p><br><br></li><li><p>Excellent written and oral <strong>communication</strong>: Ability to produce high-quality deliverables and reports.</p><br><br></li><li><p><strong>Team spirit</strong>: Ability to collaborate effectively with team members to achieve common goals.</p><br><br></li><li><p>Mastery of <strong>Agile</strong> concepts (<strong>Scrum</strong>, Sprint Planning, Backlog...).</p><br><br></li></ul> <br><br> </div>
<h2 class="h5">Job description</h2>
<div class="t-break" data-jb-field="description">
<p>Performance et support</p><br><br><p>Achats - Administration d'achats</p><br><br><p>Data Analyst F/H</p><br><br><p>CDI</p><br><br><p>Ingénieur & Cadre</p><br><br><p>Temps complet</p><br><br><p>Intégrez le Service Data, Compliance et Performance au sein de la Direction Excellence Opérationnelle et Digitalisation rattachée à la direction des achats Hors Production (Safran Purchasing) du groupe SAFRAN. Vous serez au cœur de projets stratégiques dédiés à la digitalisation et à la modernisation du reporting décisionnel. Vous participerez à la transformation digitale de la direction dans une ambiance collaborative, avec de réels enjeux Data qui contribue à notre efficacité, à l'innovation, l'amélioration continue et la conformité.<br>Vos missions seront :<br>• Concevoir, faire évoluer et documenter les dashboards et leurs modèles de données sous-jacents sous Power BI Services en étant force de proposition<br>• Préparer des données variées pour leur migration et leur injection dans des applications en production<br>• Réaliser et mettre en œuvre des scripts de nettoyage, de mise en qualité et de fiabilisation des données<br>• Rédiger des cahiers des charges fonctionnels pour faire réaliser les Robotic Process Automations (RPA) nécessaires pour assurer la continuité des flux de données<br>• Assurer et surveiller le RUN des différents outils et pipeline en place pour garantir le maintien opérationnel des applications et reportings en production<br>• Mener des analyses structurées et approfondies pour comprendre et résoudre les incidents qui pourraient survenir. Mettre en œuvre et piloter les actions corrective et préventives</p><br><br><p>Compétences outils<br>• Power BI Desktop / Service<br>• Python<br>• Notions API / flux / fichiers plats<br>• Excel avancé<br>• Une connaissance de Dataiku est un plus<br>• Une connaissance des bases SQL est aussi un plus<br>Compétences projet<br>• Vous bénéficiez d'une expérience Data pour le compte des Métiers Achats, Supply Chain ou Marketing/Ventes<br>• Vous maitrisez les fondamentaux de la gouvernance de la données, le catalogage, la data quality.<br>• Animation d'ateliers métier, préparation et validation des comptes rendus<br>• Formalisation de besoins fonctionnels (collecte des besoin métiers, synthèse, organisation des arbitrage, validation)<br>• Suivi d'incidents et de risques.<br>Vous serez basé à Casablanca et travaillerez principalement en collaboration avec le chef de projet digitalisation, le Data Manager et les acheteurs de la direction.<br>Déplacements fréquents à Malakoff (France) à prévoir.<br>Soft skills<br>• Bilingue en français<br>• Anglais courant à l'écrit et à l'oral<br>• Expériences dans le pilotage de projets et la conduite du Change Management<br>• Autonomie avec un sens du Reporting<br>• Orienté amélioration continue<br>• A l'écoute, ouvert et pédagogue<br>• Méthodique, rigoureux et pragmatique.<br>• Sens du service, excellent relationnel avec aisance en fonctionnement transverse<br></p><br><br><br> </div>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p>Job Description: Context: The Field Support Engineer is a member of the Operations organization in Secure Land Communications. He/she belongs to the Customer Test & Support department. He/she is responsible to follow and manage the resolution of customer incidents and he/she can also prepare and perform the integration of the network, and prepare and perform Acceptances with customers. He/she reports to the Project / Care Manager . Functions: The Field Support Engineer handles the following tasks: Managing customer requests Providing technical support Providing telephone or remote assistance Investigating incidents and problems reported by customers Troubleshooting of complex telecommunication systems Verifying corrections provided by R& D Participating in the technical preparation of roll out or upgrade operations Supporting the resolutions proposed</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Degree in Engineering with experience in Telecommunications Systems and/or Information Technology or equivalent background</li><li>Knowledge of telecom systems and equipment</li><li>Knowledge of Internet networking, protocols, and equipment, such as Cisco, Juniper, Linux, VMware, Active Directory, and Information Security is advantageous</li><li>Readiness to travel on a need basis</li><li>Good problem-solving capability, ability to handle changing and often tense contexts</li><li>Communication skills, interpersonal as well as in writing and reporting</li><li>Good English and French languages skills are mandatory</li><li>Team spirit</li><li>Competencies and experience in following areas are seen as a plus: Modern high availability systems and platforms, clustering, redundancy including geo-redundancy and load distribution RedHat linux including Virtualization and Containerization MS Windows IT solution architecture and IP protocols, networking and backhauling (IPv4, IPv6, VoIP, Mobile IP, VLAN, VPN, OSPF) Security for IT network and applications (Authentication, End-to-end encryption, Firewall, Proxy, IPsec, SSL, vulnerability) System integration and on-site interventions Familiarity with agile methodology and test automation (Robot Framework, Python) Radio and terminal platform competence Applications and databases Open source management Airbus Tetra knowledge Experience in Help Desk work</li><li>Strong internal and external interpersonal skills</li><li>Mobility (travel frequently, world-wide)</li><li>Able to handle changing and often tense contexts</li><li>Availability</li><li>Methodical</li><li>Autonomous</li><li>Close attention to detail</li><li>Languages: English and French required</li><li>This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company s success, reputation and sustainable growth.</li></ul><p></p></section>
<p>Your mission Within our project teams, you will contribute to the development of innovative digital solutions for large clients in the banking, insurance, energy, and industry sectors. You will join a multidisciplinary team, organized in Agile mode, working on high-impact business projects. As an Automated Test Engineer, you will be involved in various missions such as: Develop and maintain automated test scripts with Selenium and Robot Framework. Participate in the definition of test scenarios in collaboration with functional teams. Integrate tests into continuous integration (CI/CD) pipelines. Identify and document anomalies detected during test campaigns. Produce clear test reports and ensure follow-up of results.</p><p><strong>Desired Candidate Profile</strong></p><p>Your profile Diploma (e) from a Bac+5 in computer science or equivalent. Confirmed experience (6 years and more) in test automation with Selenium WebDriver and Robot Framework. Mastery of a programming language (Python, Java, etc.) used in test scripts. Knowledge of versioning tools (Git) and continuous integration (Jenkins, GitLab CI...). Good understanding of software testing methodologies and Agile environments. Analytical mind, rigor, and ability to work in a team.</p>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph">Job Description <div> <p> <strong>Votre mission :</strong> <br>
Dans le cadre du renforcement de notre quipe QA, nous recherchons un(e) Testeur(se) Senior capable de concevoir, automatiser et ex cuter des tests fonctionnels l aide des outils <strong>Robot Framework</strong> et <strong>UFT</strong>.</p> <p> <strong>Vos responsabilit s :</strong> </p> <ul> <li> <p>Analyser les exigences fonctionnelles et techniques.</p> </li> <li> <p>R diger et maintenir les plans de test automatis s.</p> </li> <li> <p>D velopper des scripts de test avec Robot Framework et UFT.</p> </li> <li> <p>Ex cuter les campagnes de tests automatis s.</p> </li> <li> <p>Identifier, documenter et suivre les anomalies.</p> </li> <li> <p>Collaborer avec les quipes de d veloppement, m tiers et DevOps.</p> </li> </ul> <p> <strong>Comp tences requises :</strong> </p> <ul> <li> <p>Exp rience confirm e en automatisation des tests.</p> </li> <li> <p>Ma trise de <strong>Robot Framework</strong> (Python ou Java selon contexte).</p> </li> <li> <p>Ma trise de <strong>UFT</strong>.</p> </li> <li> <p>Connaissances des outils de CI/CD (Jenkins, GitLab CI ).</p> </li> <li> <p>Esprit analytique, rigueur et bonne communication.</p> </li> <li> <p>[Anglais technique ou courant selon contexte]</p> </li> </ul> <p> <strong>Ce serait un plus si vous avez :</strong> </p> <ul> <li> <p>Exp rience dans un environnement Agile / DevOps.</p> </li> <li> <p>Connaissance d autres outils de test (Selenium, TestNG, etc.).</p> </li> <li> <p>Exp rience dans les tests sur applications web, desktop ou mobile</p></li></ul></div></div></section>
<p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Job Description: Your objective will be to ensure the validation of the performance, efficiency, and robustness of AI models by developing test strategies adapted to AI use cases (RAG, autonomous agents, LLM), with particular attention to responsible and ethical aspects. Your responsibilities will include: Collaborating with the product and data teams to ensure the alignment of test results with business needs; developing the test approach, scenarios, and validation plans covering functional and non-functional aspects (performance, security), as well as vulnerabilities; implementing testing processes and tools adapted to AI use cases (RAG validation, autonomous agents); monitoring and sharing key performance indicators (KPIs) to measure model effectiveness; and industrializing AI testing practices within the teams. To monitor technological developments in AI testing frameworks and methodologies. To be proactive in transforming concepts into operational testing solutions.</font></font></p><p><strong>Desired Candidate Profile</strong></p><h2><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Qualifications</font></font></h2><p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Diploma m (e) of a Bac+5 in computer science.</font></font></p><p><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Experience: Minimum 3 years.</font></font></p><h2><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Required skills:</font></font></h2><ul><li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Methodologies: Agile Testing, ISTQB guide, Data/AI acculturation (GenAI and non-GenAI)</font></font></li><li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Programming: Python, Pandas, NumPy</font></font></li><li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">Generative AI: RAG, Prompt Engineering, Agentique, LLM</font></font></li><li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">AI frameworks: LangChain, LangGraph or equivalents</font></font></li><li><font dir="auto" style="vertical-align: inherit;"><font dir="auto" style="vertical-align: inherit;">AI testing tools: Giskard, RAGAS, Deep-Eval or similar solutions for model evaluation</font></font></li></ul>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & 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 & 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 & 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">
<br> Company culture : <p><strong>Alten Maroc </strong>is defined by a deeply <strong>collaborative</strong> culture, focused on people, trust, and strong team support, with hands-on managers who guide and develop talent.<br>
This environment is enhanced by a strong drive for <strong>innovation</strong>, encouraging creativity, initiative, and experimentation across projects.<br>
A structured and disciplined organization ensures <strong>efficiency</strong>, rigor, and quality in engineering delivery.<br>
<strong>Performance</strong> and ambition are part of the culture as well, supporting collective success while maintaining a positive and caring atmosphere.
</p><br><br>
<br> Job : <p><u><strong>1. Digitalization of test scenarios</strong></u></p><br><br><ul><li>Create digital validation scenarios for ADAS functions (ACC, LPA, SALC, LKA, CSA, JSA, ALSA, LSA, ISA/AISA, etc.) using <strong>CarMaker</strong> software.</li><li>Automate and optimize test processes to improve efficiency and reproducibility.</li></ul><p><u><strong>2. Post-processing and reporting</strong></u></p><br><br><ul><li>Perform post-processing analysis of test data.</li><li>Generate <strong>detailed reports</strong> to evaluate the performance, robustness, and compliance of ADAS functions.</li><li>Use tools like <strong>Canalyzer</strong>, <strong>vSignalyzer</strong>, or <strong>Plot Manager</strong> for data analysis.</li></ul><p><u><strong>3. Anomaly detection and resolution</strong></u></p><br><br><ul><li>Identify functional failures during validation phases.</li><li>Propose <strong>corrective solutions</strong> and collaborate with design and modeling teams.</li><li>Create and track <strong>JIRA tickets</strong> to document and resolve detected anomalies.</li></ul><p><u><strong>4. Regression testing (MIL)</strong></u></p><br><br><ul><li>Design and execute <strong>Model-in-the-Loop (MIL) test campaigns</strong> to ensure the stability of validated functions.</li><li>Automate non-regression tests to reduce regression risks.</li></ul><p><u><strong>5. Data visualization and HMI</strong></u></p><br><br><ul><li>Use <strong>IPGMovie</strong> and <strong>IPGControl</strong> to represent data flows and HMI interfaces.</li><li>Facilitate the interpretation and analysis of results through clear and interactive visualizations.</li></ul><p><u><strong>6. HIL feedback analysis</strong></u></p><br><br><ul><li>Use <strong>Hardware-in-the-Loop (HIL)</strong> validation results to adjust and optimize test scenarios.</li><li>Collaborate with HIL teams to improve the correlation between virtual and real tests.</li></ul><p><u><strong>7. Development of internal tools</strong></u></p><br><br><ul><li>Design <strong>interactive tools</strong> using <strong>MATLAB/AppDesigner</strong> (e.g., Calibration Analyzer, Calibration Updater, CrossCheck Analyzer) to:</li><li>Automate repetitive tasks to gain efficiency.</li></ul><p><u><strong>8. System design and modeling</strong></u></p><br><br><ul><li>Model ADAS systems using <strong>MATLAB/Simulink</strong>.</li><li>Verify modeling rules with tools like <strong>Design Verifier</strong>, <strong>J3Check</strong>, or <strong>MCDC</strong> to generate compliant C code.</li><li>Analyze vehicle driving data to correct design anomalies (via <strong>Canalyzer</strong>, <strong>vSignalyzer</strong>, <strong>Plot Manager</strong>).</li></ul><p><u><strong>9. Coding and scripting</strong></u></p><br><br><ul><li>Develop scripts to automate tests, post-processing, and report generation.</li><li>Use languages like <strong>Python</strong>, <strong>MATLAB</strong>, or <strong>CAPL</strong> as needed.</li></ul> <br> <br> Required profile : <ul><li>Engineering degree or Master's degree (Bac+5) in mechatronics and embedded systems</li><li>1 to 5 years of experience in a similar role</li><li>ADAS modeling (MATLAB/Simulink)</li><li>MIL validation & simulation (CarMaker)</li><li>Vehicle data analysis & JIRA</li><li>MIL / SIL / HIL calibration & integration</li></ul> <br><br> </div>
<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph">Job Description <div> <p> <strong>Key Responsibilities:</strong> </p> <p>As a Data Analyst you will: </p> <p>- Receive and develop briefs from your Client Lead and work collaboratively to ensure work of the highest quality </p> <p>- Maintain analytics data views for accurate reporting and insights capability </p> <p>- Maintain and update stored procedures </p> <p>- Combine internal data with other data sources to provide a holistic view </p> <p>- Participate in all daily ceremonies and events, raising issues as soon as identified to facilitate delivery </p> <p>- Inspect and adapt your way of working for continuous improvement </p> <p>- Embody an Agile mindset and culture</p> <p>- Provide accurate, insightful and timely analysis to the business to help decision making. </p> <p>- Ability to simplify the complex and generate precise insights then communicate them clearly. </p> <p>- Continually look to improve processes through efficiencies and by applying best practice </p> <p>- Challenge the stakeholders and the business backlogs to focus work around the areas that really matter </p> <p>- Actively add to the Squads backlog with work that would benefit customers </p> <p>- Steer the agenda and be a trusted partner for work </p> <p>- Ability to contribute to an analytics roadmap for continuous insight delivery improvement</p></div></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph">Qualifications </p><div> <p> <strong>Here are the key skills & experience requested:</strong> </p> <p>* Strong interpersonal skills so that you can work closely with the Team</p> <p>* Skilled at adapting communication for both technical and non-technical audiences </p> <p>* Able to learn data sources and methodologies quickly and apply technical skills to curate accurate analytics data views </p> <p>* Familiarity with GitHub and quality assurance checking of SQL scripts </p> <p>* Experience in obtaining insight from large data sets and sharing actionable learnings with the wider business </p> <p>* 2 years+ experience in coding complex SQL queries against a large relational customer database, identifying relevant data sources and summarising to provide the insight as identified </p> <p>* Experience in updating SQL stored procedures </p> <p>* Ability to resolve data-related problems </p> <p>* Proficiency in Python and / or R a bonus </p> <p>* Proficiency with data visualization software (e.g. Power BI) a bonus </p> <p>* Good experience of using Excel and MS Office </p> <p>* Skilled at creating engaging, actionable, easy to understand insight </p> <p>* Track record of creating compelling data visualisations </p> <p>* Passion for customer and generally curious </p> <p>* Telecoms-industry experience desirable </p> <p>* Highly numerate with a Degree in Mathematics/Statistics or similar degree with high numerate content </p> <p>* Ability to collaborate and work effectively in a team but also comfortable with owning product backlog items and self-organising to deliver them </p> <p>* Highly organised and able to juggle multiple priorities concurrently </p> <p>* Excellent problem solving skills with a logical approach</p> <p>* Fluent in English</p></div><p></p></section>