Senior Python Software Engineer-Data

Axel Springer is Europe’s leading digital publisher and a global media and technology company headquartered in Berlin. 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.

You'll be part of a team that builds the data products powering Axel Springer's media and advertising business. That includes the pipelines, services, and modeled datasets that product teams, analysts, and data scientists rely on every day. You'll work within the Data Engineering discipline, reporting to a Data Engineering Manager while being embedded day-to-day in one of our business domains. Typical domains include subscriptions, advertising, audience tracking, content performance, and event data, and you'll work alongside software engineers, data scientists, analysts, and product partners. The stack is Python-first and cloud-native, with parts in Go. build data products as production software by designing, implementing, testing, deploying, and operating end-to-end systems

bring backend engineering rigor to data through clean code, sensible APIs, automated testing, and strong observability

make data trustworthy by building quality checks, lineage, freshness, and clear ownership from the start

design schemas, data contracts and domain models that evolve safely, handle late data, and reflect real business questions

partner with product, engineering, and data science to deliver reliable, high-quality data and lift standards through active mentoring of mid-level and junior engineers

tune pipelines, services, and data models for reliability, performance, and cost-efficiency

a degree in computer science, engineering, or a related field; senior-level experience delivering and operating backend systems, data products, APIs, services, or pipelines end-to-end in a cloud environment such as AWS, GCP, or Azure

strong software engineering fundamentals with Python, writing clean, well-tested, maintainable code, and the ability to quickly pick up Go and other tools; experience with cloud data, lakehouse platforms, and high-throughput processing is a plus

whether you come as a senior backend engineer moving into data or a data engineer with meaningful backend experience, you bring either solid depth in data modeling, schema evolution, incremental and idempotent processing, and late data handling, or strong transferable instincts and a genuine drive to go deeper

sound judgment on APIs, data contracts, schemas, and ownership boundaries, including the ability to reason about compute cost and trade-offs, not just whether a system runs

data-trust instincts: you treat quality checks, lineage, freshness, observability, and documentation as first-class deliverables and operate data products like real production systems

flexible working hours support a healthy work-life balance

• our free food offer: in addition to a breakfast snack, we also offer a free lunch in our canteens
• 30 days vacation plus 10 days working from abroad
• free choice of top-notch office equipment (also for your remote work space and possibility for private usage), up-to-date hardware, software and modern office spaces that provide you with maximum flexibility
• from now a permanent full- or part-time position in a modern office in the heart of Berlin:

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