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Delivery Hero (talabat)

Data Engineer II - (Global Discovery, Consumer)

Delivery Hero (talabat) is hiring a Data Engineer II - (Global Discovery, Consumer) in Berlin, Germany. Level rates it ; you can apply on Delivery Hero (talabat).

Level's read on this job

  • Little AI ●○○○ is how Level rates this data engineer role: aI is not part of the work.
  • Tools and skills the posting cites include Claude and Claude Code.
  • Level classifies it as a mid-level role.
  • Level lists 896 other open roles at Delivery Hero (talabat).
  • The role was posted within the past week.

AI in this role

ClaudeClaude Code

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.

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.
  • 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.

Ensuring you and all our Heroes are looked after, happy, and healthy is always on the menu. Because if you’re in good shape, then we’re 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, 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.

  • 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 you’re excited to grow, collaborate and be part of the world’s leading delivery platform, we’d love to hear from you. Apply today!

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 inclusion@deliveryhero.com.

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

How we rate this

Data Engineer II - (Global Discovery, Consumer) at Delivery Hero (talabat) rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

ClaudeClaude Code

Also common in data engineer jobs at this level

Pay

Typical data engineer job
$147k

This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs

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  1. What's a project where you used Claude hands-on?
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  • List these exact terms on your resume: Claude and Claude Code. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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