Senior Data Engineer

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 / Quantum Black, 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 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/operational systems  — any major ERP ecosystem counts (Dynamics/Business Central, SAP, Odoo, Net Suite, or similar). What matters is that you've worked with ERP data models before.
Able to work  German-aligned business hours (CET)  for close collaboration with the core team.

MBB Background Only  — McKinsey (Quantum Black), BCG (BCG X), or Bain (Bain Advanced Analytics), or equivalent top-tier consultancy.

Nice to have:  working knowledge of Power BI — this is not a reporting role, so it's a bonus, not a requirement.

Why This Role You won't be maintaining someone else's pipeline — you'll be the person who decides what "trusted data" means for the business and builds the system that delivers it. High ownership, high visibility, direct impact on every downstream system that touches customer and product data.