backend developer for media and advertising

Axel Springer is a digital publisher and media and technology company whose National Media & Tech division provides technology for its journalism and media brands. It builds data products supporting its media and advertising business, including services, pipelines, and modeled datasets used by product teams, analysts, and data scientists.

• Drive projects end to end, from clarifying problems and shaping solutions through scoping, 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 business questions
• Build data quality checks, lineage, freshness monitoring, and clear ownership into systems
• Operate and improve systems, including incident response, reliability, performance, and cost efficiency
• Collaborate with product, engineering, analytics, and data science teams to agree on priorities and resolve trade-offs
• Support other engineers through mentoring, code reviews, and clear documentation

• Senior-level experience delivering and operating production systems in a cloud environment
• Experience building production services in Go or another statically typed language, plus solid Python skills and the ability to work across the stack
• Strong software engineering fundamentals, including maintainable code, automated testing, API design, and observability
• Demonstrated ownership of projects from problem definition to production, including planning, technical decision-making, and 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
• Ability to learn quickly, work through unfamiliar problems, and make practical trade-offs around reliability, performance, and cost
• Будет плюсом: experience building recommendation services, working with lakehouse platforms, or handling high-throughput processing; AWS or Palantir Foundry experience

• Flexible working hours
• Free breakfast snacks and lunch in the canteens
• 30 Days of vacation plus 10 days working from abroad
• Choice of office equipment, including equipment for a remote workspace with private use, up-to-date hardware and software, and modern office spaces
• 80% Office presence and 20% mobile working
• Permanent full-time or part-time position