Senior Data Engineer – Risk & Compliance (cnp Protect)

Fivestars

Berlin, Germany
Not specified; benefits: €2,000 l&d budget; equity...
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Advanced proficiency in python and pyspark
Experience building feature store pipelines
Solid knowledge of aws services including s3 eks
** Fivestars is seeking a Senior Data Engineer for its CNP Protect team in Berlin, focusing on building data pipelines and systems to combat card-not-present fraud. The ideal candidate will have advanced Python and PySpark skills, experience with feature stores, and knowledge of AWS services. **

Job Summary

  • This role involves migrating from a third-party rules engine to a fully in-house system while productionising a foundational merchant embedding model.
  • The successful candidate will own the data layer that powers automated decision-making systems preventing card-not-present fraud at scale.
  • SumUp offers a dedicated annual L&D budget of €2000, a corporate pension scheme matching up to 20%, and a 1-month sabbatical after 3 years of service.

Matching Summary

Match Score: 75

** Fivestars is seeking a Senior Data Engineer for its CNP Protect team in Berlin, focusing on building data pipelines and systems to combat card-not-present fraud. The ideal candidate will have advanced Python and PySpark skills, experience with feature stores, and knowledge of AWS services. **

Salary

Not specified; Benefits: €2000 L&D budget; Equity: Virtual Stock Option programme included

Skills & Requirements

Must-have

  • Advanced proficiency in Python and PySpark
  • Experience building Feature Store pipelines
  • Solid knowledge of AWS services including S3 EKS
  • Knowledge of open table formats like Apache Iceberg
  • Familiarity with streaming architectures and Kafka

Nice-to-have

  • Experience with embeddings or representation learning
  • Background in fraud risk or decisioning domains
  • Strong software engineering skills with CI/CD
  • API design and Docker experience

Key Requirements

  • Senior level experience in data engineering
  • Performance-tuned PySpark expertise required
  • Hands-on knowledge of online and offline serving

Work Rights

Not specified

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