Data Engineer II - (Global Discovery, Consumer)

Delivery Hero SE; Deutschland; Híbrido; EUR 70.000 - 110.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work in Berlin campus

27 days holiday

Educational budget

Health & wellness

Employee share plan

Sabbatical bank

Public transport discount

Pension plan

Meal vouchers

Descripción de la vacante

Delivery Hero SE in Berlin is seeking a Data Engineer II to own batch pipelines and data products behind Global Discovery. You will build the Unified Data Layer and shape Airflow/dbt workflows, working with analysts and data scientists.

This role requires 3+ years of data engineering, strong SQL in BigQuery, Python, and experience with Airflow and dbt. You will implement data quality checks, scale pipelines, and contribute to a data-driven consumer experience across Delivery Hero platforms.

Formación

• 3+ years in data engineering, building production data workflows in Python.
• Advanced analytical/OLAP SQL, ideally in BigQuery, incl. tuning queries for performance and cost.
• Production experience with Airflow and dbt, including data quality monitoring and alerting.
• Daily use of coding agents (e.g. Claude Code) to scaffold DAGs and dbt models, with ownership of results.
• Solid engineering practices: testing, reviews, observability, and readable code.
• Curiosity about business impact of data and ability to collaborate with analysts and data scientists.

Responsabilidades

• Own a well-defined scope of batch pipelines end-to-end, build Python workflows, and improve reliability and testability.
• Shape how we use Airflow and dbt to define and operate the Unified Data Layer, keeping BigQuery workloads efficient.
• Maintain reliability with SLAs, runbooks, and root-cause analysis in production.
• Own alerts and maturity of data quality checks, validations, and testing suites.
• Build self-serve tooling for analysts and data scientists to access analytical layers.

Conocimientos

Python

SQL

Airflow

dbt

BigQuery

Data Engineering

Herramientas

Claude Code

Airflow

dbt

BigQuery

Descripción del empleo

Company Description

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

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-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

• 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, 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 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.

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

Equality, Diversity and Inclusion

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 .

You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.