Data Engineer II (Global Discovery, Consumer)

Deep analysis. Smarter systems. Real users. As a Data Engineer II youll own the batch pipelines and data products behind Global Discovery the search and recommendation services used across all Delivery Hero platforms. Batch pipeline ownership is moving to our squad so youll take on a well-defined scope from day one and help build the Unified Data Layer that analysts and data scientists rely on every day.

The Analytics Engineering squad is part of Data Engineering in Global Discovery: three Data Engineers and an Engineering Manager. We own the data products behind Discovery analytics from data quality monitoring to supporting recommendation and ML workflows across several data science teams. Now were building the Unified Data Layer as the single source of truth for analytics and data science and taking full ownership of batch pipelines as our data platform team takes over stream processing.

At Delivery Hero youll shape the global consumer experience for millions of users. Your work will have a direct impact on how we attract and retain customers creating data-driven personalized interactions that keep them coming back. As part of our Consumer Team youll enhance customer satisfaction and drive global growth and profitability through innovative projects.

• Own a well-defined scope of batch pipelines end-to-end building new Python workflows and reworking existing ones so they are more reliable readable and testable.
• Shape how we use Airflow and dbt to define build and operate the Unified Data Layer keeping BigQuery workloads efficient and cost-aware.
• Keep our workflows reliable using tiers SLOs and runbooks and find and fix the root cause when something breaks in production.
• Own alerts and grow the maturity of our data quality checks business-logic validation and testing suite.
• Build self-serve tooling that lets analysts and data scientists create their own analytical layers with less effort.
• Make our codebases and workflows native to agentic tooling so coding agents speed up the team without lowering the quality bar.

Qualifications :

• 3 years in data engineering building production data workflows primarily in Python.
• Advanced analytical/OLAP SQL ideally in BigQuery including tuning queries for performance and cost.
• Production experience with Airflow and dbt including system reliability data quality monitoring and alerting.
• Daily use of coding agents (e.g. Claude Code) to scaffold DAGs and dbt models with the rigor to verify what they produce (grain joins reconciliation) and full ownership of the result.
• Solid engineering practices: unit and integration testing thoughtful code reviews observability and code that anyone unfamiliar with the system can understand.
• Curiosity about the business behind the data with the ability to dig into the logic explain what the numbers mean and work closely with analysts and data scientists.

Nice to have

• Experience supporting recommendation search or ML data workflows.
• Exposure to stream processing (e.g. Flink Kafka) and a clear view of batch vs. streaming trade-offs.
• Experience building self-serve data tooling for analysts or other non-engineering users.
• Experience building your own agents or agent-based tooling for data engineering work.

Additional Information :

Ensuring you and all our Heroes are looked after happy and healthy is always on the menu. Because if youre in good shape then were 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. 

• Cash. Dough. Cheddar. Whatever you call it well 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 and Food Vouchers. 

• Wondering what relocating to Berlin is like In this article weve 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.

Heads up: exact benefits may look a little different for intern working student fixed-term and part-time roles.

Ready to join our team If youre excited to grow collaborate and be part of the worlds leading delivery platform wed love to hear from you. Apply today!

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Remote Work :

No

Employment Type :

Full-time