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In this role, you will develop robust, maintainable batch pipelines in Python, optimize the Unified Data Layer for analytics and ML, and collaborate closely with data scientists and analysts.
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Your role in the team
- Deep analysis. Smarter systems. Real users. As a Data Engineer II, you'll 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 you'll 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 we're 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, you'll 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, you'll 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-service tools that enable analysts and data scientists to create their own analytical layers with less effort.
- Make our codebases and workflows native to agentic tooling, so coding agents can accelerate the team without lowering the quality bar.
Our expectations of you
Qualifications
- Advanced analytical/OLAP SQL, ideally in BigQuery, including query optimization for performance and cost.
- 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.
- Exposure to stream processing (e.g., Flink, Kafka) and a clear understanding of the trade-offs between batch and streaming.
Experience
- 3+ years of experience in data engineering, building production data workflows primarily in Python.
- Production experience with Airflow and dbt, including system reliability, data quality monitoring, and alerting.
- Experience supporting recommendation, search, or ML data workflows.
- Experience building self-service data tools for analysts or other non-engineering users.
- Experience building your own agents or agent-based tooling for data engineering work.
What we offer
- Make the most of our hybrid working model and join the team for face-to-face connection and collaboration at our beautiful Berlin campus two days a week.
- We offer 27 days of annual leave, plus an extra day in your second and third years of service.
- We will support your personal development and career growth: a €1,000 learning budget, language courses, parental support, and access to the Udemy Business platform, where you can explore a wide range of online courses.
- Get moving and release those wonderful, mind-boosting endorphins: health checkups, meditation & gym.
- 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 food is unrivaled. Here are a few ways to make it happen. All the yum: Digital Meal Vouchers and Food Vouchers.
- 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.
Benefits
Food & drink
Work-Life-Integration
Health, fitness & fun
Topics you will work on
Job locations
About your employer
What started as an ambitious idea is now the leading local delivery company. Delivery Hero is present in around 50 countries across four continents and is on a mission to deliver anything, straight to customers’ doors.
- 2011
- English
- Established Company
- Onsite, Hybrid
- Trade
Employer reviews
- Engineering
- 2.8
- Career growth
- 3.2
- Team culture
- 3.3
- Working conditions
- 3.8
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