Senior Software Engineer (m/f/d) Data

SmartRecruiters, Inc.; Berlin; Hybrid; EUR 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Flexible working hours

Free breakfast and lunch

30 days vacation + 10 days working abv

Budget for trainings, conferences, and

Top-notch office equipment for remote/

Zusammenfassung

Axel Springer SE in Berlin seeks a senior data engineer to build and operate data products for subscriptions, advertising, audience tracking, content performance, and event data. You will deliver end-to-end projects from idea to production.

The role focuses on Go and Python, with AWS and Palantir Foundry in the stack, and requires strong software engineering fundamentals, ownership, and collaboration with product partners.

Qualifikationen

• Senior-level experience delivering and operating production systems in a cloud environment.
• Proven track record building production services in Go or another statically typed language and Python skills.
• Strong software engineering fundamentals: maintainable code, automated testing, API design, observability.
• Ownership of projects from problem definition to production: sound technical decisions and delivery.
• Experience with data modeling and reliable data processing.
• Clear communication and collaboration with technical and non-technical colleagues.
• Ability to learn quickly and make practical trade-offs around reliability, performance, and cost.
• Experience building recommendation services, working with lakehouse platforms, or handling high-throughput processing is a plus.

Aufgaben

• Drive projects end to end: clarify the problem, shape the solution, scope the work, and lead delivery through implementation, testing, deployment, and operation.
• Build production services, pipelines, and data products in Go and Python, with clear interfaces, automated tests, and strong observability.
• Design schemas, data contracts, and domain models that evolve safely, handle late-arriving data, and answer real business questions.
• Build in data quality checks, lineage, freshness monitoring, and clear ownership.
• Operate and improve the systems you build, including incident response, reliability, performance, and cost efficiency.
• Work with product, engineering, analytics, and data science to agree priorities and resolve trade-offs and support other engineers through mentoring, code reviews, and clear documentation.

Kenntnisse

Production systems

Go programming

Python

AWS

Palantir Foundry

Software engineering fundamentals

Data modeling

API design

Observability

Communication & collaboration

Learning quickly

High-throughput processing (plus)

Tools

Go

Python

AWS

Palantir Foundry

Jobbeschreibung

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’ll build and operate the data products behind Axel Springer’s media and advertising business: services, pipelines, and modeled datasets used by product teams, analysts, and data scientists.

This is a hands‑on engineering role with responsibility for driving projects from initial idea through to production and ongoing operation.

You’ll help shape solutions, align with stakeholders, and deliver reliable, maintainable software.

Our stack combines Go and Python in roughly equal measure, with some TypeScript, using AWS and Palantir Foundry. Experience delivering cloud solutions is essential; prior experience with our specific platforms is not.

You’ll report to a Data Engineering Manager and work within a business domain alongside engineers, data scientists, analysts, and product partners.

Our domains include subscriptions, advertising, audience tracking, content performance, and event data.

Job Description

• drive projects end to end: clarify the problem, shape the solution, scope the work, and lead delivery through implementation, testing, deployment, and operation
• build production services, pipelines, and data products in Go and Python, with clear interfaces, automated tests, and strong observability
• design schemas, data contracts, and domain models that evolve safely, handle late-arriving data, and answer real business questions
• build in data quality checks, lineage, freshness monitoring, and clear ownership
• operate and improve the systems you build, including incident response, reliability, performance, and cost efficiency
• work with product, engineering, analytics, and data science to agree priorities and resolve trade-offs and support other engineers through mentoring, code reviews, and clear documentation

Qualifications

• senior-level experience delivering and operating production systems in a cloud environment. Experience with AWS or Palantir Foundry is useful, but experience with other cloud platforms is equally welcome
• a track record of building production services in Go or another statically typed language, alongside solid Python skills and the ability to work across our stack
• strong software engineering fundamentals, including maintainable code, automated testing, API design, and observability
• demonstrated ownership of projects from problem definition to production: you turn open questions into a workable plan, make sound technical decisions, and drive delivery while maintaining engineering quality
• experience with data modeling and reliable data processing, or strong transferable backend skills and the ability and motivation to develop that expertise
• clear communication, effective collaboration with technical and nontechnical colleagues, and experience helping other engineers develop
• the ability to learn quickly, work through unfamiliar problems, and make practical trade-offs around reliability, performance, and cost
• experience building recommendation services, working with lakehouse platforms, or handling high-throughput processing is a plus

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 possibility of 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

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

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