Staff Software Engineer Data

Axel Springer SE
Berlin, Germany
3 days ago
Apply on career.axelspringer.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours

Tech stack

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
+6 more
Management of Software Versions Google Cloud Cloud Platform System 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, 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

Requirements

  • 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

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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on career.axelspringer.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:06 min

Developer experience and project variety at scale

Alexandra Petri · World Congress 2023

1:22 min

Analyzing differences between mobile and traditional backend DevOps

Mete Baydar Mete Baydar · World Congress 2025

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

6:10 min

Unlocking free learning credits via Google Cloud Innovators

Asrar Asrar · World Congress 2024

4:18 min

Prioritizing communication and structural awareness over strict tool mastery

Liam Hurrel +1 · World Congress 2021

3:27 min

Defining DevOps through its historical origins and foundational texts

Sonal Patil · LIVE

Videos

See all

Related articles

See all