Level
Senior
Location
Berlin
Working Model
Onsite
Job Field
Data, Back End
Employment Type
Full Time
Contract Type
Permanent employment

Job Summary

In this role, you will develop data products, build pipelines in Go and Python, and take ownership of their operation and optimization while closely collaborating with various business domains.

Job Technologies

Your role in the team

Drive projects end to end: clarify the problem, shape the solution, scope the work, and lead delivery through implementation, testing, deployment, and operation.
Build production services, pipelines, and data products in Go and Python, with clear interfaces, automated tests, and strong observability.
Design schemas, data contracts, and domain models that evolve safely, handle late-arriving data, and answer real business questions.
Build in data quality checks, lineage, freshness monitoring, and clear ownership.
Operate and improve the systems you build, including incident response, reliability, performance, and cost efficiency.
Work with product, engineering, analytics, and data science to agree on priorities and resolve trade-offs, and support other engineers through mentoring, code reviews, and clear documentation.

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Our expectations of you

Qualifications

A track record of building production services in Go or another statically typed language, alongside solid Python skills and the ability to work across our stack.
Strong software engineering fundamentals, including maintainable code, automated testing, API design, and observability.
Demonstrated ownership of projects from problem definition to production: you turn open questions into a workable plan, make sound technical decisions, and drive delivery while maintaining engineering quality.
The ability to learn quickly, work through unfamiliar problems, and make practical trade-offs around reliability, performance, and cost.

Experience

Senior-level experience delivering and operating production systems in a cloud environment. Experience with AWS or Palantir Foundry is useful, but experience with other cloud platforms is equally welcome.
Experience with data modeling and reliable data processing, or strong transferable backend skills and the ability and motivation to develop that expertise.
Clear communication, effective collaboration with technical and non-technical colleagues, and experience helping other engineers develop.
Experience building recommendation services, working with lakehouse platforms, or handling high-throughput processing is a plus.

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What we offer

You will build and operate the data products behind Axel Springer's media and advertising business: services, pipelines, and modeled datasets used by product teams, analysts, and data scientists.
This is a hands-on engineering role with responsibility for driving projects from initial idea through to production and ongoing operation.
You'll help shape solutions, align with stakeholders, and deliver reliable, maintainable software.
Our stack combines Go and Python in roughly equal measure, with some TypeScript, using AWS and Palantir Foundry.
Experience delivering cloud solutions is essential; prior experience with our specific platforms is not.
You will report to a Data Engineering Manager and work within a business domain alongside engineers, data scientists, analysts, and product partners.
Our domains include subscriptions, advertising, audience tracking, content performance, and event data.