Teamlead Data Engineering

Team language: German & English Contract type: Permanent, full-time (40 hours/week), starting as soon as possible What this role is about In this role, you will lead a Data Engineering team responsible for building data-driven products and platforms across multiple markets. You will combine technical excellence with people leadership, ensuring that data is delivered reliably, efficiently, and at scale to support business, analytics, and data science use cases.

You will play a key role in shaping the evolution of our data platform and driving the transformation of on-premise solutions into modern cloud-based architectures on Google Cloud Platform (GCP).

Your responsibilities

Design, build, and operate scalable data pipelines and ETL processes on Google Cloud Platform (GCP) Lead and develop the Data Engineering team, providing both disciplinary and functional leadership while supporting the growth of individual team members Coordinate projects, set priorities, and ensure the successful delivery of team objectives Optimize data processing workflows for performance, scalability, and efficiency Collaborate closely with Data Scientists, Analysts, and other stakeholders to translate business requirements into technical solutions Own data quality standards and establish best practices for sustainable and reliable data products Define and implement data governance policies and procedures to protect sensitive data Drive the migration of existing on-premise data products to the cloud This role is a great fit for you if...

you have several years of experience as a Data Engineer or in a similar data-driven role , with prior leadership experience you enjoy combining technical challenges with people leadership and team development you bring strong expertise in Python, SQL, and modern cloud platforms , ideally GCP you can explain complex technical concepts clearly and effectively align diverse stakeholders you have a structured, analytical mindset and enjoy solving complex problems pragmatically you thrive in cross-functional environments and enjoy building data products with measurable business impact you are passionate about quality and want to take ownership of stable, scalable, and future-proof data solutions you are driven by data-powered innovation and motivated to deliver sustainable, high-impact outcomes Tech Stack Python, Oracle PL/SQL, Airflow, Git Terraform, Open.

Shift, Docker, Kubernetes, Java, Kafka Google Cloud Services (Big. Query, Cloud Build, Cloud Storage, Pub/Sub, Cloud Composer, Dataflow) Conditions & benefits Flexibility: 30 days of vacation plus the option to purchase additional vacation days, hybrid working policy (2 days home office/week) and the possibility of taking a sabbatical Food & drinks: Mostly free, healthy, and varied meals, fresh fruit and popcorn every day, plus coffee and tea included Health & fitness: Free use of our in-house gym, health weeks, massages, and physiotherapy treatments on site Culture: Team events, Social Days, an open “come as you are” culture, dogs are welcome,strong engagement in female leadership Development: Individual training and development opportunities within the team and across the organization Mobility: Coverage of the Deutschlandticket, central location with a subway station right outside the door, and Job.

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