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Senior Data Engineer(m/w/x)
Building Python-based, production-grade data pipelines for AI/ML workflows at a global fintech for small business lending. Expert Python, PySpark, and AWS knowledge required. Free German classes, yoga, and subsidised sports club membership.
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
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
Work Experience
- 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PySpark
- AWS
- S3
- EKS
- Keyspaces
- Athena
- Docker
- Git
- CI/CD
- GitHub actions
- GraphDBs
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
Not a perfect match?
- BIT CapitalFull-timeOn-siteSeniorBerlin
- mama health
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Senior Data Engineer(m/w/x)
Building Python-based, production-grade data pipelines for AI/ML workflows at a global fintech for small business lending. Expert Python, PySpark, and AWS knowledge required. Free German classes, yoga, and subsidised sports club membership.
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
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
Work Experience
- 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PySpark
- AWS
- S3
- EKS
- Keyspaces
- Athena
- Docker
- Git
- CI/CD
- GitHub actions
- GraphDBs
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
About the Company
SumUp
Industry
FinancialServices
Description
The company is a leading global fintech company committed to leveling the playing field for small businesses.
Not a perfect match?
- BIT Capital
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Full-timeOn-siteSeniorBerlin - mama health
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Full-timeOn-siteExperiencedBerlinfrom 190,000 / year - Moonfare
Senior Data Engineer(m/w/x)
Full-timeOn-siteSeniorBerlin - sensmore
ML Ops / Data Engineer - Robotics(m/w/x)
Full-timeOn-siteNot specifiedBerlin, Potsdam