Data Engineer expérimenté(e)
Summary
Designs and builds scalable data pipelines in Python, SQL, dbt and Airflow, manages cloud data warehouses (BigQuery, Snowflake, Databricks), and explores generative AI to automate workflows for enterprise clients.
Job Overview
Location: Lille
Contract type: CDI (full time)
Working mode: Hybrid (2-3 remote days per week, office close to train stations)
Responsibilities
- Architect data pipelines in Python, SQL, dbt and Airflow
- Manage data across BigQuery, Snowflake, Databricks and MLOps tools
- Ensure data quality, governance, orchestration and cost optimisation
- Transform raw data into business insights
- Experiment with generative AI to improve data workflows
Projects
- Build complete MLOps platforms on Google Cloud or Azure
- Develop machine‑learning algorithms to optimise retail campaigns
- Create real‑time pipelines for business control of large groups
- Integrate generative AI in data workflows to automate and speed up processes
- Design cloud‑native data architectures scalable at enterprise level
Compensation
Base salary starts at €48,000 gross per year, with annual review.
Training & Career Development
Access to SFEIR Institute, partnership certifications (Google Cloud, AWS, Microsoft, dbt), labs and sessions with internal experts; internal GenAI platform RAISE for building AI projects.
Legal Statement
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