Data Engineering Manager Job at Axel Springer SE (Berlin)

Data Engineering Manager

Axel Springer SE

Location:
Germany , Berlin

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

You will lead a data engineering team both technically and as a people manager. You set the technical direction, raise the engineering bar, and stay hands-on enough to guide architecture and delivery - while also helping engineers grow and thrive through coaching, feedback, and clear expectations. You will also build up the data engineering team over time: hiring, strengthening capabilities, and developing future technical leaders.

Job Responsibility:

design, develop, and operate large-scale, distributed data systems that power media and advertising products end to end
own the full lifecycle of core data systems, covering architecture, implementation, testing, deployment, operations, and long-term evolution
define and continuously evolve data models, pipelines, and APIs to ensure reliable, high-quality data delivery across use cases
drive platform reliability and performance through observability, SLAs and SLOs, incident response, capacity planning, and cost-aware optimization
partner closely with engineers, data scientists, product teams, and domain owners to align on requirements and ensure technical excellence
lead by example and raise engineering standards through hands-on guidance, technical reviews, mentoring, and visible decision-making
lead and develop engineers as a people manager through 1:1s, feedback, growth plans, hiring, onboarding, and timely performance decisions
build and scale a healthy data engineering organization by strengthening skills, roles, team culture, and future technical leadership

Requirements:

proven experience in data engineering and distributed systems, operating production environments at scale
expertise in designing data platforms (batch/streaming), data modeling, and performance optimization
strong programming skills in at least one modern language used for data engineering (e.g., Python, Java, Scala, Go)
experience with cloud environments (AWS, GCP, or Azure) and modern platform practices (CI/CD
Infrastructure as Code is a plus)
people leadership experience like coaching, feedback, hiring, and creating clarity or strong readiness to step into it
ability to set technical direction and mentor engineers without creating bottlenecks
excellent communication and collaboration skills across disciplines (engineering, data science, product, editorial)
comfortable working with ambiguity and multiple stakeholders in a matrix organization

What 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
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
guidance on the administrative side of relocation and visa processes through our relocation agency

Additional Information:

Job Posted:
January 29, 2026

Work Type:

Hybrid work

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