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.
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.
Conditions
- Hybrid working model: join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week.
- 27 days holiday with an extra day on 2nd and 3rd year of service.
- Support in developing yourself and your career growth opportunities: 1.000 € Educational Budget, Language Courses, Parental Support and access to the Udemy Business platform to explore a variety of online courses.
- Health Checkups, Meditation, Gym Subsidy.
- Employee Share Purchase Plan, Sabbatical Bank, Public Transportation Ticket Discount.