Data Engineering Manager (m/f/d)

Was du bei uns bewegst:

• 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

Was du mitbringst:

• 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 clarityor 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