Technical and disciplinary leadership of the Data Engineering team
Design, implementation and continuous development of modern data platforms and data lakehouse architectures (e.g., based on Databricks)
Strategic consulting for our clients on introducing and scaling data-driven platforms across various industries
Development and optimization of ETL/ELT pipelines to process large volumes of data in both batch and streaming scenarios
Ensuring quality, best practices and technical excellence within the team — from code reviews and architecture decisions to standards for DataOps and CI/CD
Active contribution to the unit strategy and portfolio, and support for go-to-market and pre-sales activities

You have professional experience, a degree or vocational training in IT
Several years (5+ years) of experience in data engineering
Solid experience with Databricks (e.g., Delta Lake, Spark, Workflows)
Experience in technical or disciplinary leadership of teams or in leading complex projects
Knowledge of modern data architectures (e.g., data lakehouse, data mesh)
Proficient with Python, SQL and/or Scala
Experience with cloud platforms (Azure, AWS, or GCP) and DevOps/DataOps practices (e.g., CI/CD, Git, Terraform)
Structured and independent working style
Strong communication skills and quick comprehension
German fluent (spoken and written) (C2) / English at least B2

Data Engineer, Unit Lead

Key skills