Senior Data Engineer
SumUp
Seniority
Senior
Model
In-Office
Sector
Salary
Undisclosed
Contract
Full-Time
About the role
This is a Senior Data Engineer position within SumUp's Card Not Present (CNP) Protect team, responsible for building production-grade ML systems and data pipelines that power real-time fraud detection for millions of merchants. You'll work on high-impact data infrastructure that directly shapes the effectiveness of SumUp's fraud prevention systems.
What you'll do
- Design, build, and maintain production-grade Python-based data pipelines that power ML workflows, including real-time and near-real-time data processing
- Take full ownership of data quality and reliability — implementing validations, automated testing, monitoring, and alerting with clearly defined SLAs
- Strengthen data foundations by documenting architecture, data lineage, dataset definitions, and dependency management
- Lead Feature Store governance, improve usability, and standardise feature store setup for data scientists
- Work closely with Risk Platform, ML Data Platform, data scientists, software engineers, and analysts to deliver changes safely to production
What you'll need
- Strong proficiency in Python and PySpark, with hands-on experience designing computationally efficient solutions in large-scale production environments
- Experience building and maintaining feature engineering pipelines, including enriched attributes for online and offline use cases
- Comfort working with cloud infrastructure such as AWS (S3, EKS, Keyspaces, Athena) or equivalent providers, alongside containerisation tools like Docker and version control with Git
- Experience with streaming or event-driven architectures (such as Kafka) and familiarity with open table formats like Apache Iceberg or Delta Lake
- A track record of taking data quality and governance seriously, with ability to communicate technical concepts clearly to non-technical collaborators
Nice to have
- Experience working in Fintech or Risk & Compliance domains
- Experience with embeddings or representation learning pipelines
What they offer
- Virtual Stock Option programme
- €2000 annual L&D budget for conferences and further education
- Corporate pension scheme with up to 20% matching contributions
- 28 days paid leave plus public holidays and special leave days
- Urban Sports Club subsidy, Kita placement assistance, subsidised office lunches
- Break4me: 1-month sabbatical after 3 years of service