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About the Role

You'll be part of a team that builds the data products powering Axel Springer's media and advertising business. You will work within the Data Engineering discipline, reporting to a Data Engineering Manager while being embedded day-to-day in one of our business domains. The stack is Python-first and cloud-native, with parts in Go. Strong engineering judgment matters more than familiarity with any specific platform.

Responsibilities

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.
Own systems end-to-end and stay responsible for incidents, operational quality, performance tuning, and continuous improvement.
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.

Requirements

A degree in computer science, engineering, or a related field; equivalent expertise proven through experience and impact is equally valued.
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.
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.
Data-trust instincts: treat quality checks, lineage, freshness, observability, and documentation as first-class deliverables and operate data products like real production systems.
Strong collaboration and communication skills, including comfort working with non-engineers, valuing documentation and quality as glue work, and mentoring engineers at a range of levels.
Take responsibility for outcomes, partner with your team and stakeholders to align on direction, and drive work forward.

Skills

Python
Go
Cloud data
Lakehouse platforms
High-throughput processing
Data modeling
Schema evolution
Incremental processing
Idempotent processing
Late data handling
APIs
Data contracts
Schemas
Quality checks
Lineage
Freshness
Observability
Documentation
Collaboration
Communication
Mentoring

Location

Berlin

Work Type

80% office presence and 20% mobile working
Permanent
Full-time
Part-time

Experience Level

Senior-level

Education Level

Degree in computer science, engineering, or a related field, or equivalent expertise

Benefits

Trainings and learning lunches
Tech conferences
Budget for workshops
Flexible working hours
Breakfast snack
Free lunch in canteens
30 days vacation
10 days working from abroad
Free choice of top-notch office equipment (also for remote work space and possibility for private usage)
Up-to-date hardware, software and modern office spaces

About the Company

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.”
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.

Equal Opportunity

Diversity is an essential part of our corporate culture! We are looking forward to receiving all applications regardless of gender, nationality, ethnic and social origin, religion, ideology, disability, age, sexual orientation and identity.
You can find information about the representation for the severely disabled at Axel Springer here: https://career.axelspringer.com/en/rsde