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. It combines the reach of an established industry leader with the agility of a startup, constantly driving innovation to transform journalism for the digital age.
Responsibilities
- Design, develop, and operate large-scale, distributed data systems that support media and advertising products
- Take full ownership of the full lifecycle of our systems, including architecture, implementation, testing, deployment, operations and continuously shape their evolution
- Collaborate across teams to define data models, pipelines, and APIs that ensure reliable and high-quality data delivery
- Collaborate closely with other engineers, data scientists, and product teams to drive improvements, introduce new ideas, and ensure technical excellence
- Contribute to continuous optimization and performance improvements across our platforms
- Stay curious and proactive, explore emerging technologies, propose innovative solutions, and raise the engineering bar
Requirements
- Bachelors or Masters degree in Computer Science, Engineering, or a related field, or equivalent proven expertise through experience and impact
- 8+ years of professional software engineering experience, with an exceptional track record of owning and delivering complex, high-impact systems at scale
- Deep proficiency in at least two modern programming languages and ecosystems (e.g., one strongly typed, one dynamic or functional)
- Demonstrated ability to independently design, evolve, and operate distributed systems and large-scale microservice architectures in cloud environments such as AWS, GCP, Azure, or equivalent
- Proven experience architecting and delivering resilient and performant data or application platforms, including event-driven, real-time, or multi-region systems
- Hands-on mastery of modern data and compute paradigms, including orchestration, modeling, schema evolution, data versioning, and query optimization, independent of specific tools or vendors
- Strong grounding in systems design, software lifecycle management, observability, and reliability engineering
- Excellent communication and collaboration skills, with the ability to work effectively across disciplines and provide technical guidance and mentoring through hands-on expertise
- Strong intrinsic motivation to explore diverse technologies and thrive in an environment that combines big data, cloud infrastructure, and modern engineering practices
Benefits
- Opportunities for personal growth through trainings, learning lunches, tech conferences, and a budget for workshops
- Flexible working hours and 30 days vacation plus 10 days working from abroad
- Free food offering, including breakfast snacks and a free lunch in the canteens
- Top-notch office equipment, up-to-date hardware and software, and modern office spaces
- Permanent full-time or part-time position in a modern office in the heart of Berlin