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 and BUSINESS INSIDER Germany, the company reaches millions of users worldwide. The corporate strategy places AI at the center, reflecting the belief that the fusion of artificial intelligence and human creativity will shape the future of media.
Responsibilities
- Design, develop, and operate large-scale, distributed data systems that power media and advertising products end to end
- Own the full lifecycle of core data systems, covering architecture, implementation, testing, deployment, operations, and long-term evolution
- Define and continuously evolve data models, pipelines, and APIs to ensure reliable, high-quality data delivery across use cases
- Drive platform reliability and performance through observability, SLAs and SLOs, incident response, capacity planning, and cost-aware optimization
- Partner closely with engineers, data scientists, product teams, and domain owners to align on requirements and ensure technical excellence
- Lead by example and raise engineering standards through hands-on guidance, technical reviews, mentoring, and visible decision-making
- Lead and develop engineers as a people manager through 1:1s, feedback, growth plans, hiring, onboarding, and timely performance decisions
- Build and scale a healthy data engineering organization by strengthening skills, roles, team culture, and future technical leadership
Requirements
- Proven experience in data engineering and distributed systems, operating production environments at scale
- Expertise in designing data platforms (batch/streaming), data modeling, and performance optimization
- Strong programming skills in at least one modern language used for data engineering (e.g., Python, Java, Scala, Go)
- Experience with cloud environments (AWS, GCP, or Azure) and modern platform practices (CI/CD; Infrastructure as Code is a plus)
- People leadership experience like coaching, feedback, hiring, and creating clarity or strong readiness to step into it
- Ability to set technical direction and mentor engineers without creating bottlenecks
- Excellent communication and collaboration skills across disciplines (engineering, data science, product, editorial)
- Comfortable working with ambiguity and multiple stakeholders in a matrix organization
Benefits
- Opportunities for personal growth through trainings, learning lunches, tech conferences, and a budget for workshops
- Flexible working hours and 30 days of vacation plus 10 days of remote work
- Free food and snacks, modern office spaces, and up-to-date hardware and software
- Guidance on the administrative side of relocation and visa processes
- A permanent full- or part-time position in a modern office in the heart of Berlin