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SU
SumUp
8h ago

Senior Data Engineer(m/w/x)

Berlin
Full-timeOn-siteSenior
AI/ML
Data Science

Description

You will build the high-quality data foundations that power AI-driven automation, ensuring the team has the reliable pipelines and models needed to make critical Risk and AML decisions.

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Requirements

  • 5+ years experience as Data Engineer
  • Expert Python and PySpark proficiency
  • In-depth knowledge of AWS technologies
  • Experience implementing data pipelines
  • Experience scaling APIs and CI/CD
  • Team player attitude and collaboration
  • Self-drive, proactiveness, and adaptability
  • Passion for AI technology
  • Previous experience in FinTech
  • Experience in cross-functional setup
  • Previous experience with GraphDBs

Education

Bachelor's degree
OR
Master's degree
OR
Doctoral / PhD

Work Experience

5 years

Tasks

  • Build Python-based, production-grade data pipelines
  • Power AI automation and ML workflows
  • Develop near real-time datasets and aggregations
  • Ensure data quality through validations and testing
  • Monitor pipelines and establish clear SLAs
  • Maintain core data models for Risk decisioning
  • Build scalable pipelines for regulatory reporting
  • Handle ad-hoc regulator requests and audit trails
  • Document data architecture and lineage
  • Improve data foundations and governance
  • Collaborate with cross-functional squads and platforms

Tools & Technologies

PythonPySparkAWSS3EKSKeyspacesAthenaDockerGitCI/CDGitHub actionsGraphDBs

Languages

EnglishBusiness Fluent

Benefits

Retirement Plans

  • Corporate pension scheme

More Vacation Days

  • 28 days’ paid leave

Learning & Development

  • Free German classes

Healthcare & Fitness

  • Free yoga classes
  • Subsidised Urban Sports Club membership

Additional Allowances

  • Conference attendance budget
  • External training budget
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