Data Engineer II - (Global Discovery, Consumer)
Delivery Hero7 days ago
Berlin, GermanyMid Level
Responsibilities
- Own batch pipelines end-to-end, including building and reworking Python workflows for reliability, readability, and testability.
- Use Airflow and dbt to define, build, and operate the Unified Data Layer while optimizing BigQuery workloads for performance and cost.
- Maintain workflow reliability through tiers, SLOs, runbooks, alerting, observability, and production root-cause analysis.
- Improve data quality checks, business-logic validation, and testing coverage.
- Build self-service analytical tooling for analysts and data scientists.
- Make codebases and workflows compatible with agentic coding tools while verifying and owning the resulting work.
Requirements
- At least 3 years of data engineering experience building production data workflows primarily in Python.
- Advanced analytical or OLAP SQL skills, ideally using BigQuery, including query performance and cost tuning.
- Production experience with Airflow and dbt, including reliability, data quality monitoring, and alerting.
- Daily experience using coding agents such as Claude Code to scaffold DAGs and dbt models, with rigorous verification of grains, joins, and reconciliations.
- Strong engineering practices including unit and integration testing, code reviews, observability, and maintainable code.
- Ability to understand business logic, interpret data, and collaborate with analysts and data scientists.
- Experience supporting recommendation, search, or ML data workflows is a plus.
- Exposure to stream processing such as Flink or Kafka is a plus.
- Experience building self-service data tooling or agent-based data engineering tools is a plus.
Benefits
- Hybrid work with face-to-face collaboration at the Berlin campus 2 days per week.
- 27 days of holiday, plus an additional day in the second and third years of service.
- €1,000 educational budget, language courses, parental support, and Udemy Business access.
- Health checkups, meditation, and gym benefits.
- Employee Share Purchase Plan, Sabbatical Bank, public transportation ticket discount, life and accident insurance, and corporate pension plan.
- Digital meal vouchers and food vouchers.
- Relocation support for moving to Berlin.
Tech Stack
Categories
Data Engineering
About Delivery Hero
Delivery Hero builds a marketplace and logistics platform for online food delivery, groceries, and local commerce, serving consumers, restaurants, and retailers through regional brands. It monetizes via commissions, delivery and service fees, and advertising, and also runs quick‑commerce operations. Founded in 2011 and headquartered in Berlin, the company operates in around 65 countries and has been listed on the Frankfurt Stock Exchange since 2017.