The opportunity
The Analytics Engineering & Governance Enablement (AEGE) team is part of N26's wider Analytics Engineering & Data Governance (AEDG) function. Our function covers the full spectrum from data modelling and transformation through to BI tooling and governance infrastructure that makes all of that work reliable at scale.
What you'll do
Own and evolve our core dbt services: maintain CI/CD infrastructure, drive performance improvements, enforce quality standards, and support a large community of data practitioners building on top of it
Be the engineering interface for the analytics engineering community: unblock practitioners, review and improve shared patterns, and raise the bar on project quality, model structure, and SQL craft
Improve data quality and governance infrastructure: contribute to services covering anomaly detection, freshness monitoring, drift detection, and data contract enforcement
Shape data governance practices: drive standards around data ownership, data product thinking, and contract-first design across the data mesh
Contribute to our Python based tooling: feature extensions, integrations, and observability utilities; write well-tested, maintainable Python that practitioners can build on
Stay close to the platform: collaborate with our data platform team on the direction of shared infrastructure, representing the analytics perspective in technical decisions
What they're looking for
- Problem solving: you scope problems quickly, find root causes rather than treating symptoms. You know when to ship a pragmatic fix and when to go deeper
- Solid Python: typed, tested, maintainable code; you can contribute to shared tooling
- Strong SQL - you can read and reason about query plans, identify performance: bottlenecks, and set a high standard for the SQL that goes into production
- Community and craft orientation: you're energised by helping others do better work; you can influence without authority and make good practices stick
