Senior Data Engineer, AI
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Summary
Build and optimize Azure Lakehouse data pipelines for AI projects using Databricks, ensuring high-quality datasets and performance.
Responsibilities
- Design and evolve data processing pipelines on an Azure Lakehouse architecture.
- Participate in the collection, integration, structuring and modeling of data.
- Optimize processing performance and ensure data quality.
- Prepare datasets for analytical consumption and AI projects.
- Promote and improve AI‑assisted development practices (code generation, refactoring, testing and documentation).
- Support Data projects by providing your technical expertise.
Requirements
- You have at least five years of experience in Data Engineering, BI, or Cloud Data Engineering and have contributed to significant projects on Cloud/Lakehouse architectures.
- Strong expertise with Databricks (Delta Lake, Lakehouse, performance optimization), data modeling (analytical schemas, SCDs, structuring), and AI‑assisted development tools.
- You enjoy working in a team, are rigorous, and want to contribute to the continuous improvement of a high‑impact Data platform.
- On‑site presence three days per week is required in Hauts‑de‑France.