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About the Role

We are looking for a Senior Data Engineer to help build the next-generation data foundation for fraud prevention. You will develop products that empower millions of customers and merchants, from seamless payments to innovative financial solutions like wallets and credit. Your work will support our path to profitability by creating financial flexibility for users and enabling smooth transactions across our markets. You will build and enhance historization capabilities, batch pipelines, data quality framework, and observability tooling to make fraud data reliable, traceable, and easy to use for rule evaluation, model training, inference, and backtesting.

Responsibilities

Build accurate, point-in-time-correct datasets for model training, backtesting, and analysis.
Design and build scalable batch pipelines that complement our 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.

Requirements

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: a 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: a track record of owning data solutions from design and implementation through deployment and operations.

Skills

Python
Airflow
dbt
BigQuery
GCP
AWS
Apache Flink

Location

Berlin

Work Type

Hybrid

Experience Level

Senior

Benefits

27 days holiday with an extra day on 2nd and 3rd year of service
1.000 € Educational Budget
Language Courses
Parental Support
Access to the Udemy Business platform
Health Checkups
Meditation
Gym Subsidy
Employee Share Purchase Plan
Sabbatical Bank
Public Transportation Ticket Discount
Life & Accident Insurance
Corporate Pension Plan
Digital Meal Vouchers
Food Vouchers
Corporate Discounts

About the Company

As the world’s pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door.
We operate in around 65 countries worldwide, powered by tech, designed by people.
As one of Europe’s largest tech platforms, headquartered in Berlin, Germany, Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index.
We push hard, learn quickly and stay human along the way.
It’s this wonderful mix of high performance and real community that makes Delivery Hero a place where ambition and belonging grow side by side.
If you’re curious, collaborative and ready to dive deep into meaningful work, you’ll fit right in.

Equal Opportunity

We believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience.
Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you.
We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experience—just let us know with an email to our Inclusion Officer at [email protected].
Severely disabled applicants with equal qualifications will be given preferential consideration.
You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.