Data Engineer Expérimenté – Hybrid, MLOps & GenAI
Summary
Designs and maintains scalable data pipelines in Python, SQL, dbt, and Airflow, ensuring data quality and governance across BigQuery, Snowflake, and Databricks to support AI-driven workflows.
SFEIR Lille is seeking a data engineer to architect scalable data pipelines in Python, SQL, dbt and Airflow, and to manage data across BigQuery, Snowflake, Databricks and MLOps tools.
The role focuses on data quality, governance, orchestration and cost optimisation, transforming raw data into business insights and supporting AI‑driven workflows.
Based in Lille with a hybrid setup (2–3 remote days), the position offers growth through SFEIR Institute and hands‑on GenAI platforms.