Data engineer for search and recommendation

Описание:

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.

Задачи:

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.

Требования:

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. Будет плюсом: 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

Условия:

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

• 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, we’ll help you with it: Employee Share Purchase Plan, Sabbatical Bank, Public Transportation Ticket Discount, Life & Accident Insurance, Corporate Pension Plan
• All the yum: Digital Meal Vouchers and Food Vouchers.