Senior Software Engineer (m/f/d) Data at Axel Springer News Media National

Berlin, , Germany -

Full Time

Start Date

Immediate

Expiry Date

22 Feb, 26

Salary

0.0

Posted On

24 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Engineering, Data Systems, Cloud Environments, Microservice Architectures, Data Modeling, APIs, Performance Optimization, Observability, Reliability Engineering, Collaboration, Communication, Event-Driven Systems, Real-Time Systems, Schema Evolution, Query Optimization, Mentoring

Industry

technology;Information and Media

Description

Company Description 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.” This vision reflects our belief that the fusion of artificial intelligence and human creativity will shape the future of media. 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. You will be part of an innovative team building data-driven systems that power digital media and advertising at scale and tackle complex challenges, contributing to the design and evolution of high-performance data platforms. Job Description 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 Qualifications Bachelor’s or Master’s 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 a strong track record of 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 design, evolve, and operate distributed systems and large-scale microservice architectures in cloud environments (AWS, GCP, Azure, or equivalent) proven experience architecting and delivering resilient, performant data or application platforms — including event-driven, real-time, or multi-region systems hands-on mastery of modern data and compute paradigms (e.g., 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 mentor engineers at various levels you are passionate about exploring diverse technologies and thrive in an environment that combines big data, cloud infrastructure, and modern engineering practices Additional Information your personal growth is important to us: we offer trainings and learning lunches, tech conferences, a budget for workshops and much more to expand your knowledge and your skills 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 private usage), up-to-date hardware, software and modern office spaces that provide you with maximum flexibility collaboration thrives on direct exchange - we rely on 80% office presence and 20% mobile working from now a permanent full- or part-time position in a modern office in the heart of Berlin: http://www.axelspringer-neubau.de/ The most frequently asked questions and their answers can be found on our FAQ page: career.axelspringer.com/en/faq 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

Responsibilities

Design, develop, and operate large-scale, distributed data systems that support media and advertising products. Collaborate across teams to define data models, pipelines, and APIs that ensure reliable and high-quality data delivery.