Senior Data Engineer — Azure Data Platform & Master Data | Metz

Location: Metz, France Working Hours: German-aligned (CET business hours) Function: Data Engineering Seniority: Senior (5+ years)

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.
This is an upstream engineering role. 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.

What You'll Do
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 modern data warehouse architecture.
Build data governance foundations: validation frameworks, quality monitoring, lineage, and documentation.

What You Bring
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 rapid.
Hands-on master data experience — you can walk through, step by step, how you deduplicated and co

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