Senior Data Engineer - (Fintech Data)

Deliveryhero; Berlin; Hybrid; EUR 90.000 - 140.000; Vollzeit

Benefits dieser Stelle

Hybrid work model

27 days holiday

Educational budget

Language courses

Parental support

Udemy Business access

Gym subsidy

Employee share purchase plan

Sabbatical bank

Public transportation discount

Life & accident insurance

Corporate pension plan

Digital meal vouchers

Food vouchers

Corporate discounts

Zusammenfassung

Delivery Hero in Berlin is seeking a Senior Data Engineer (Fintech) to build the next generation data foundation for fraud prevention and payments infrastructure. You will own end‑to‑end data solutions, from design through deployment, enabling scalable models and real‑time insights across markets.

You will work with Data Science and Engineering teams, implement Flink-based streaming and batch pipelines, and focus on data quality, observability, and governance to support secure, fast transactions.

Qualifikationen

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

Aufgaben

• Own data solutions from design to deployment and operations.
• Build scalable data pipelines and data products for fraud prevention and fintech use cases.
• Collaborate with Data Science and Fraud Ops to translate requirements into robust data foundations.

Kenntnisse

Python

Airflow

dbt

BigQuery

Cloud platforms (GCP/AWS)

Apache Flink

Feature prep

Model training

Backtesting

Data quality

Observability

Data governance

Engineering ownership

Tools

GCP

AWS

Jobbeschreibung

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.

Job Description

We are on the lookout for a Senior Data Engineer (Fintech)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.

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: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.

Additional Information

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.

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 [emailprotected] .

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.