Job
- Level
- Senior
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Berlin
- Working Model
- Onsite
Job Summary
In this role, you will develop data-driven software products, implement end-to-end systems, enhance data quality, and mentor junior engineers while collaborating with various stakeholders.
Job Technologies
Your role in the team
- Build data products as production software by designing, implementing, testing, deploying, and operating end-to-end systems.
- Bring backend engineering rigor to data through clean code, sensible APIs, automated testing, and strong observability.
- Own systems end-to-end and stay responsible for incidents, operational quality, performance tuning, and continuous improvement.
- Make data trustworthy by building quality checks, lineage, freshness, and clear ownership from the start.
- Design schemas, data contracts, and domain models that evolve safely, handle late data, and reflect real business questions.
- Partner with product, engineering, and data science to deliver reliable, high-quality data and lift standards through active mentoring of mid-level and junior engineers.
- Tune pipelines, services, and data models for reliability, performance, and cost-efficiency.
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Our expectations of you
Education
- A degree in computer science, engineering, or a related field; equivalent expertise proven through experience and impact is equally valued.
Qualifications
- Sound judgment on APIs, data contracts, schemas, and ownership boundaries, including the ability to reason about compute cost and trade-offs, not just whether a system runs.
- Data-trust instincts: you treat quality checks, lineage, freshness, observability, and documentation as first-class deliverables and operate data products like real production systems.
- Strong collaboration and communication skills, including comfort working with non-engineers, valuing documentation and quality as glue work, and mentoring engineers at a range of levels.
- You take responsibility for outcomes, partner with your team and stakeholders to align on direction, and drive work forward.
Experience
- Senior-level experience delivering and operating backend systems, data products, APIs, services, or pipelines end-to-end in a cloud environment such as AWS, GCP, or Azure.
- Strong software engineering fundamentals with Python, writing clean, well-tested, maintainable code, and the ability to quickly pick up Go and other tools; experience with cloud data, lakehouse platforms, and high-throughput processing is a plus.
- Whether you come as a senior backend engineer moving into data or a data engineer with meaningful backend experience, you bring either solid depth in data modeling, schema evolution, incremental and idempotent processing, and late data handling, or strong transferable instincts and a genuine drive to go deeper.
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What we offer
- You'll be part of a team that builds the data products powering Axel Springer's media and advertising business.
- That includes the pipelines, services, and modeled datasets that product teams, analysts, and data scientists rely on every day.
- You'll work within the Data Engineering discipline, reporting to a Data Engineering Manager while being embedded day-to-day in one of our business domains.
- Typical domains include subscriptions, advertising, audience tracking, content performance, and event data, and you'll work alongside software engineers, data scientists, analysts, and product partners.
- The stack is Python-first and cloud-native, with parts in Go.
- Strong engineering judgment matters more than familiarity with any specific platform.
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Benefits
Health, Fitness & Fun
Work-Life-Integration
Food & Drink
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Topics that you deal with on the job
Job Locations
This is your employer
Axel Springer SE
As a leading European digital publisher, Axel Springer SE offers an impressive range of successful journalistic content and marketing portals.
Description
- Company Size
- 250+ Employees
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Media, Publishing
Employer reviews
by devworkplaces.com
Total
(1 Review)3.4
Career Growth
3.2Culture
3.2Engineering
3.7Workingconditions
3.6
Senior Software Engineer Data
- Location
- Berlin
- Working Model
- Onsite
- Diversity
- Open for all genders
- English Only
- English only required
