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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Software Engineer Data - **Company:** Axel Springer SE - **Location:** Berlin, Germany - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Application Lifecycle Management, Microsoft Azure, Big Data, Cloud Computing, DevOps, Distributed Data Store, Distributed Systems, Query Optimization, Reliability Engineering, Software Engineering, Management of Software Versions, Google Cloud, Cloud Platform System, Information Technology, Data Delivery, Programming Languages - **Published:** October 3, 2026 - **Apply:** https://career.axelspringer.com/de/job/staff-software-engineer-data-4 ## About the Role * Bachelor's or Master's degree in Computer Science, Engineering, 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 ## Description Was du bei uns bewegst: * 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 * you will 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 Was du mitbringst: * Bachelor's or Master's degree in Computer Science, Engineering, 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 ## Related Videos - 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