Senior Software Engineer Data

Axel Springer SE
1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Tech stack

Application Programming Interfaces (APIs)
Amazon Web Services
Application Lifecycle Management
Microsoft Azure
Big Data
Cloud Computing
Distributed Data Store
Distributed Systems
Query Optimization
Reliability Engineering
Software Engineering
Management of Software Versions
Google Cloud
Information Technology
Data Delivery
Programming Languages

Job 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, 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

Requirements

  • 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

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." 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.

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