Data Engineering Lead | Data Engineer (m/w/d)

Riverty Group GmbH

Berlin, Berlin, Deutschland
Published Mar 9, 2026
Full-time
No information

Job Summary

The Data Engineering Lead will spearhead the design, development, and delivery of high-quality data pipelines and products within a fintech ecosystem covering payments, invoicing, and collections. Operating in an agile, cross-functional environment, the role involves building and scaling a high-performing team to transform raw data into trusted assets for BI and AI. Key responsibilities include defining the data engineering roadmap, overseeing ETL/ELT pipeline development, and implementing automated data quality frameworks. The position is unique for its hybrid flexibility across multiple European locations (Berlin, Verl, Baden-Baden, or Oslo) and its focus on a 'data-as-a-product' philosophy. You will collaborate with Data Product Owners and Platform Engineering to ensure data reliability and operational excellence while fostering a culture of ownership and CI/CD automation.

Required Skills

Education

Not specified

Experience

  • 10+ years of experience in data engineering
  • 3-5 years in a leadership role managing multi-team delivery
  • Experience managing teams with a size of 10+ members
  • Proven success leading data engineering functions within agile, cross-functional data product teams
  • Professional experience in modern data transformation and cloud environments

Languages

Not specified

Additional

  • Location options include Berlin, Verl, Baden-Baden (Germany) or Oslo (Norway); hybrid working conditions available; full-time and unlimited contract.