About this role
<p>AVL Maroc SARL AU offers a job in Morocco (MA) as</p> <h1 style="line-height:35.0pt"><b>Data Platform Engineer</b></h1> <h2 style="line-height:26.0pt"></h2> <p> </p> <p> </p> <p> </p> <p><b>YOUR RESPONSIBILITIES:</b></p> <p> </p> <p><ul> <li> <p>Review and stabilize existing platform implementations (Databricks, Foundry – pipelines, Ontology schemas, Workshop applications, Functions, notebooks).</p> </li> <li> <p>Identify performance bottlenecks, technical debt, and governance gaps across data pipelines and application layers.</p> </li> <li> <p>Lead Ontology governance and design reviews, acting as a gatekeeper for all schema changes (Object Types, Links, Properties, Actions).</p> </li> <li> <p>Define and document target data architectures (ingestion, transformation, and consumption layers).</p> </li> <li> <p>Establish coding standards, naming conventions, repository structures, and Function versioning policies.</p> </li> <li> <p>Enforce code reviews and technical validation before production deployment through Foundry Branching and Proposal workflows.</p> </li> <li> <p>Define and implement a structured testing strategy (unit tests for Functions, integration tests, data quality checks, pipeline expectations).</p> </li> <li> <p>Design and improve CI/CD pipelines and Dev/Test/Prod promotion processes using Foundry Marketplace/DevOps.</p> </li> <li> <p>Automate deployments, rollbacks, and environment configurations.</p> </li> <li> <p>Create and maintain architecture documentation (ADRs, data lineage diagrams, Ontology schemas, data flow diagrams).</p> </li> <li> <p>Design reusable Workshop component libraries, custom widgets, and Slate application patterns.</p> </li> <li> <p>Design and validate new platform solutions aligned with strategy, security, and governance requirements.</p> </li> <li> <p>Mentor the development team on architectural thinking and platform best practices (40% hands-on coding, 60% architecture/leadership).</p> </li> </ul></p> <p> </p> <p><b>YOUR PROFILE:</b></p> <p> </p> <p><ul> <li>Master’s degree in Computer Science, Data Engineering, or a related field.</li> <li> <p>5+ years of experience in data engineering or platform architecture roles.</p> </li> <li> <p>Strong expertise in modern data platforms (Databricks, Snowflake, AWS Glue, Azure Synapse, or similar). Foundry experience is strongly preferred but not required.</p> </li> <li> <p>Advanced skills in Python (PySpark), SQL (Spark SQL), and TypeScript for backend logic and application development.</p> </li> <li> <p>Experience with distributed data processing (Spark architecture, partitioning strategies, performance optimization).</p> </li> <li> <p>Strong understanding of relational databases (PostgreSQL, Oracle, or similar).</p> </li> <li> <p>Experience with CI/CD workflows, Git branching strategies, and automated testing in data environments.</p> </li> <li> <p>Solid experience in end-to-end ETL and data transformation processes.</p> </li> <li> <p>Proven experience in performance optimization and scalable architecture design.</p> </li> <li> <p>Experience in defining development standards, interface contracts, and engineering best practices.</p> </li> <li> <p>Hands-on coding mindset: must write production code daily, not only review or document.</p> </li> <li> <p>Structured, analytical, and documentation-oriented approach.</p> </li> <li> <p>Strong communication and technical leadership skills, with very good proficiency in English and French.</p> </li> </ul></p> <p> </p> <ul> <li> <p>A role with true technical ownership: architecture, scaling, and governance decisions that directly impact production AI solutions.</p> </li> <li> <p>Complex projects that go beyond “just pipelines” – covering big data processing and large-scale ML/DL deployment.</p> </li> <li> <p>Opportunities to deepen your expertise in Databricks, cloud-native ML, and MLOps.</p> </li> <li> <p>A team where your input and technical decisions truly matter.</p> </li> <li> <p>A competitive package and benefits.</p> </li> </ul> <p> </p> <p>Join us and make a direct impact on shaping the future of Data, AI, and Mobility.</p> <p><span style=""><span style=""><strong>If you have these qualifications and are looking for a new challenge, we encourage you to apply to discuss it further!</strong></span></span></p>