Senior Data Engineer - (Fintech)

Senior Data Engineer - (Fintech)

Company Description

As the world's pioneering local delivery platform, Delivery Hero's mission is to deliver an amazing experience, fast, easy, and to your door. The company operates in around 65 countries worldwide, powered by tech and designed by people. Headquartered in Berlin, Germany, Delivery Hero is listed on the Frankfurt Stock Exchange and is part of the MDAX stock market index.

Job Description

Delivery Hero is looking for a Senior Data Engineer (Fintech) to help build the next-generation data foundation for fraud prevention.

You will help build the financial backbone of Delivery Hero, developing products that empower millions of customers and merchants, from seamless payments to financial solutions like wallets and credit.

The Flink-based streaming platform already powers real-time fraud signals. In this role, you will build and enhance historization capabilities, batch pipelines, data quality frameworks, and observability tooling to make fraud data reliable, traceable, and easy to use for rule evaluation, model training, inference, and backtesting.

• Build accurate, point-in-time-correct datasets for model training, backtesting, and analysis.
• Design and build scalable batch pipelines that complement the existing Flink-based streaming platform.
• Develop robust controls for data completeness, freshness, anomaly detection, reconciliation, and business-logic accuracy.
• Build observability capabilities that surface pipeline failures, data drift, and quality issues before they affect downstream models or fraud rules.
• Partner with Data Scientists and Fraud Ops to translate fraud-prevention use cases into scalable, resilient data products while maintaining consistency between batch and real-time processing.

Qualifications

• Cloud Data Engineering: Experience building production data pipelines using Python, Airflow, dbt, and BigQuery on GCP or AWS.
• Stream Processing: Hands-on experience with Apache Flink or a similar framework, including event time, state, checkpointing, and late-arriving data.
• Data Science Enablement: Strong understanding of feature preparation, model training, backtesting, and inference workflows.
• Data Quality and Observability: Experience building validation frameworks, monitoring, alerting, and data lineage for production systems.
• Engineering Ownership: Track record of owning data solutions from design and implementation through deployment and operations.

Additional Information

• Hybrid working model with face-to-face collaboration on the Berlin campus 2 days a week.
• 27 days holiday with an extra day in the 2nd and 3rd year of service.
• 1,000 EUR educational budget, language courses, parental support and access to Udemy Business.
• Health checkups, meditation and gym subsidy.
• Employee Share Purchase Plan, Sabbatical Bank, public transportation ticket discount, life and accident insurance, and corporate pension plan.
• Digital meal vouchers, food vouchers and corporate discounts.

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