Lead Data Platform Engineer

You will drive the architecture, development, and scaling of an enterprise data platform, bridging data engineering, full-stack application design and DevOps workflows.

Your tasks

• Architect, build and optimize scalable ETL/ELT pipelines and a central data lakehouse
• Integrate operational, fab and product quality datasets across engineering teams
• Design, build and maintain full-stack internal data applications and REST APIs with Python and FastAPI
• Oversee application deployment with Docker Swarm and administer PostgreSQL database servers
• Own company-wide GitLab CI/CD pipelines and security configurations
• Define and execute the roadmap for enterprise data and automation initiatives
• Deploy and scale dashboarding solutions, process automation and AI-assisted developer tooling

What you bring

• Senior or Lead level experience owning data platform architectures and end-to-end pipelines in production
• Advanced proficiency in Python and ETL/ELT pipeline orchestrators such as Airflow, Dagster or Prefect
• Experience with analytical databases such as PostgreSQL and DuckDB
• Hands-on experience developing backend services and APIs with FastAPI
• Strong foundation in containerization (Docker, Docker Swarm) and automated CI/CD workflows using GitLab
• Experience utilizing AI agentic coding tools and LLM-based documentation servers
• Proven capability leading technical roadmaps and mentoring engineers
• English required

Conditions

• Workload: 100 %
• Work model: Hybrid
• Option of a permanent position after the assignment if both sides want it

What to expect

• Work percentage: 100%
• Home office up to two days per week
• Start date: as soon as possible
• 3–6 months interim, then a permanent position

Technologies

• Python
• FastAPI
• Docker
• Docker Swarm
• PostgreSQL
• DuckDB
• Airflow
• Dagster
• Prefect
• GitLab
• GitLab CI/CD