Data Science Engineer

We are seeking an experienced Data Science Engineer to join our growing Data & Insights team in Casablanca. In this role, you will be responsible for developing and maintaining scalable data pipelines and architectures, while enabling high-performance analytics and machine learning workflows across the organization.

You will work closely with engineering, product, and AI/ML teams to design and deploy advanced data solutions using the Microsoft Fabric ecosystem. Your expertise will help unlock the value of our data, driving business insights and supporting strategic decision-making through robust, production-grade data engineering.

This is a key position within our global AI and Data Engineering community, reporting directly to the Engineering Manager.

• →Design, build, and maintain robust ETL/ELT data pipelines using Microsoft Fabric tools
• →Develop scalable data warehouse architecture for analytics and reporting
• →Collaborate with cross-functional teams (Data Science, AI, Product, Engineering)
• →Ensure data quality, security, and compliance across the data lifecycle
• →Integrate structured and unstructured data from multiple sources
• →Leverage Python and open-source libraries to enhance data workflows
• →Monitor and improve performance of data processing pipelines
• →Apply best practices in data governance and version control

Must-Have

• Hands-on experience with Microsoft Fabric ecosystem: OneLake, Data Factory, Data Warehouse, Synapse
• Strong proficiency in Python, SQL, and data transformation libraries (e.g. Pandas, PySpark)
• Proven experience designing and implementing ETL/ELT pipelines
• Solid understanding of data modeling and performance optimization
• Excellent problem-solving skills and attention to detail
• 3+ years of experience in a production-grade environment
• Fluent in English (written and verbal)

Nice to Have

• Familiarity with machine learning workflows and tools (Azure ML, Scikit-learn, MLflow)
• Experience with Power BI and data visualization best practices
• Exposure to DevOps concepts and tools (CI/CD, Azure DevOps)
• Relevant certifications (DP-203, DP-900, or equivalent)
• Fluency in French is a plus