Data Science Engineer

About the role

We are seeking an experienced Data Science Engineer to join our growing Data & Insights team in Casablanca. In this role you will develop and maintain scalable data pipelines and architectures, enabling high‑performance analytics and machine learning workflows across the organization.

Key responsibilities

• 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.

Required profile

• Hands‑on experience with Microsoft Fabric ecosystem (OneLake, Data Factory, Data Warehouse, Synapse).
• Strong proficiency in Python, SQL, and data transformation libraries such as Pandas and PySpark.
• Proven experience designing and implementing ETL/ELT pipelines.
• Solid understanding of data modeling and performance optimization.
• 3+ years of experience in a production‑grade environment.
• Fluent in English (written and verbal).

Required skills

• Microsoft Fabric tools (OneLake, Data Factory, Synapse).
• Python programming.
• SQL.
• Pandas, PySpark.
• Data modeling.