Data Engineering Lead | Data Engineer (m/w/d)
Riverty Group GmbH
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
Additional
- Location options include Berlin, Verl, Baden-Baden (Germany) or Oslo (Norway); hybrid working conditions available; full-time and unlimited contract.
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