Lead Data Engineer - Data Migration & Lakehouse

• Join SQUER as
• Lead Data Engineer - Data Migration & Lakehouse
• full-time

Innovative technologies, MVP mindset, AI-first - everyone is talking about it. With us you are right in the middle of it. Together with established clients, we develop efficient software solutions, move along product development and share our knowledge with the world.

We consider ourselves AI-native: we are curious about how AI is reshaping our field and actively explore and integrate it into our daily work, from ideation to delivery. Making a real impact and delivering high standard quality while staying authentic and treating each other with respect and fairness are prerequisites for all our projects and a core value within the team.

You thrive on turning decades of legacy complexity into clean, modern data architecture. You feel at home navigating undocumented mainframes, tangled schemas, and ambiguous specs — and you know how to translate that chaos into a clear technical path forward. If you love owning complex migrations end-to-end, building trust with stakeholders through clarity and honesty, and shaping how data moves from legacy into the lakehouse era — this is for you.

Migration Ownership: Lead large-scale migration projects from legacy systems (ranging from SQL over ERP to mainframes) into modern cloud/lakehouse targets, taking full technical responsibility.

Databricks Architecture: Design and implement robust pipelines using Spark, Delta Lake, Unity Catalog, Lakeflow