KeyStep

Senior Data Engineer – Risk & Compliance (CNP Protect)

SumUp
Berlin, Germany
8 days ago
full-time

Skills & Technologies

PythonSoftware EngineeringData EngineeringCI/CDApacheData ScienceEmbeddingsComplianceMakeDocumentationData QualityTransformation

Job Description

Berlin, Germany | Full-time | Office-first

Team description

CNP Protect is a cross-functional squad within SumUp's Risk & Compliance tribe, responsible for the ML models, rule checkpoints, and automated decisioning systems that prevent card-not-present fraud at scale. We're currently executing two of the most technically demanding data engineering workstreams in the tribe: migrating from a third-party rules engine (NOTO) to a fully in-house system, and productionising a foundational merchant embedding model built on representation learning. This Senior Data Engineer will own the data layer that makes both possible — the feature pipelines, the embedding infrastructure, and the quality standards that underpin every automated decision we make.

What you'll do

Build and operate Python and PySpark-based feature pipelines that serve enriched transaction and merchant attributes to our in-house rule engine and ML models, covering both batch and near-real-time processing

Implement and standardise our Feature Store setup — defining schemas, ownership, freshness SLAs, and lineage documentation so attributes are consistent and auditable across rule engine and ML use cases

Design and run batch pipelines to generate, version, and publish merchant embeddings using open table formats such as Apache Iceberg or Delta Lake, in collaboration with Data Science and ML Platform

Put robust data quality in place across all pipelines: automated validation, monitoring, alerting, and end-to-end debugging from source through transformation to serving

Collaborate with Risk Platform and Data Platform teams to adopt shared tooling and standards across orchestration, observability, and governance — and help the squad move toward near-real-time embedding serving

You'll be great for this role if…

Advanced proficiency in Python and performance-tuned PySpark, with strong software engineering skills, including CI/CD for data applications in large-scale production environments

Experience buildi

Company & Role Analysis

JobSeeker+
Likely perks
Private MedicalPension25+ Days HolidayStock OptionsLearning BudgetFlexible Hours
Culture & working style

Neutral 2–4 sentence summary of what working at this company is like, drawn from public reviews and press coverage. Tone, collaboration style, pace, benefits highlights.

Market salary range

£45,000 – £60,000 (Glassdoor, Levels.fyi, 2025)

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