Senior Software Engineer; m​/f​/d) Data

Axel Springer is Europe’s leading digital publisher and a global media and technology company headquartered in Berlin. With renowned brands such as BILD, POLITICO Germany, WELT und BUSINESS INSIDER Germany, we reach millions of users worldwide. We combine the reach of an established industry leader with the agility of a startup, constantly driving innovation to transform journalism for the digital age.

Our corporate strategy places AI at the center: “Digital is the new print. AI is the new digital.” This vision reflects our belief that the fusion of artificial intelligence and human creativity will shape the future of media. Our National Media & Tech division is the central tech hub that ensures our journalism is supported by state-of-the-art technology, positioning our brands to thrive in the digital age.

We believe in the future of journalism as a business model and invest in forward-looking technologies. Our five essentials are the values that unite us and guide us in our commitment to freedom.

You’ll 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 Type Script, using AWS and Palantir Foundry. Experience delivering cloud solutions is essential; prior experience with our specific platforms is not.

You’ll 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.

• 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 priorities and resolve trade-offs and support other engineers through mentoring, code reviews, and clear documentation

• 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
• 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
• 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 nontechnical colleagues, and experience helping other engineers develop
• the ability to…