Senior Data Engineer at N26 GmbH
Berlin, Berlin, Germany -
Full Time


Start Date

Immediate

Expiry Date

22 Dec, 26

Salary

1500000.0

Posted On

23 Sep, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Industry

Information Technology & Services

Description


  • 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

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Responsibilities


  • 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

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