Senior Data Engineer — Azure Data Platform & Master Data | Metz Location: Metz, France Working Hours: German-aligned (CET business hours) Function: Data Engineering Seniority: About the Role We're looking for a Senior Data Engineer to build and own our Azure-based data platform — the pipelines, the warehouse, and above all, the master data quality layer that turns messy, multi-system data into trusted, deduplicated golden records.

If you care more about data quality and integration than dashboards, this is built for you.

MBB Background Only: Candidates must come from the data & analytics practice of a top-tier strategy consultancy — McKinsey / QuantumBlack, BCG / BCG X, or Bain / Bain Advanced Analytics — or an equivalent premium data consultancy. We're looking for people who've built real data platforms under high client-delivery standards, not just advised on them.

Design and build robust ETL/ELT pipelines on Azure (Azure SQL, Data Factory / Fabric pipelines, Python).

Own Master Data Management as a first-class discipline: data cleansing, deduplication, entity resolution,



fuzzy matching, golden record creation, and survivorship rules — starting with our customer and product masters.

Integrate data across core enterprise systems: ERP, CRM, PIM, warehouse management, and eCommerce platforms.

Design and maintain dimensional data models and up-to-date data warehouse architecture.

Build data governance foundations: validation frameworks, quality monitoring, lineage, and documentation.

5+ years in Data Engineering or Analytics Engineering with real pipeline ownership (not just contributing to someone else's).

~ Advanced SQL and strong Python for data workflows.

~ Azure data platform experience (Azure SQL, ADF/Fabric) — or equivalent cloud depth with a credible ability to ramp onto Azure fast.

~ Hands-on master data experience — you can walk through, step by step, how you deduplicated and consolidated a real messy dataset.

~ Experience integrating ERP/CRM/operati

📌 Senior Engineer, Data Engineering (India)
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