Senior Data Engineer

DUDE CHEM; Berlin; Hybrid; EUR 90.000 - 140.000; Vollzeit

Benefits dieser Stelle

Hybrid work model

27 days holiday

Educational budget

Language courses

Parental support

Udemy access

Gym subsidy

Insurance & pension

Meal vouchers

Zusammenfassung

Delivery Hero is seeking a Senior Data Engineer to build the next-generation data foundation for fraud prevention in a hybrid Berlin setting. You will work with Data Science and Engineering teams to design, implement, and operate scalable data solutions powering model training, backtesting, and real-time signals.

You will own pipelines from design through deployment, driving data quality, observability, and governance while collaborating across fraud and analytics teams on end-to-end data

Qualifikationen

• Build production data pipelines and datasets for model training and backtesting.
• Design scalable batch pipelines to complement streaming platforms.
• Develop data quality controls, monitoring, and lineage for production systems.
• Build observability capabilities to surface failures and data issues.

Aufgaben

• Own the full lifecycle of data solutions from design to operation.
• Collaborate with Data Science and Fraud Ops to translate use cases into data products.

Kenntnisse

Stream Processing

Data Quality

Observability

Ownership

Tools

Python

Airflow

dbt

BigQuery

Jobbeschreibung

About the opportunity

We are on the lookout for a Senior Data Engineer to help build the next-generation data foundation for fraud prevention.

Be part of building the financial backbone of Delivery Hero. You’ll 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.

Our Flink-based streaming platform already powers real-time fraud signals. In this role, 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.

You will work closely with Data Science and Engineering teams and own the full lifecycle of these data solutions, from design and development to operation and continuous improvement.

• 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.
• Buildobservability 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.

What you need to be successful

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.

Who we are

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.

What’s in it for you

Ensuring you and all our Heroes are looked after, happy, and healthy is always on the menu. Because if you’re in good shape, then we’re in good shape.

• Make the most of our hybrid working model and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week
• We offer 27 days holiday with an extra day on 2nd and 3rd year of service
• We will support you 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.
• Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation, Gym Subsidy.
• Cash. Dough. Cheddar. Whatever you call it, we’ll help you with it: Employee Share Purchase Plan, Sabbatical Bank, Public Transportation Ticket Discount, Life & Accident Insurance, Corporate Pension Plan
• The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers, Food Vouchers, Corporate Discounts. Courses.
• Wondering what relocating to Berlin is like? In this article, we’ve put together 10 things you should know about moving to Berlin and how Delivery Hero can support you. You can also visit our relocation hub and check out more information about moving to Berlin.
• Ready to prepare for your interview? Check out the list of the 5 most common interview questions and answers created in collaboration with our recruiters.

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 [e-mail].

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.