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 #J-18808-Ljbffr
Lead Data Platform Engineer Arbeitgeber: Try&Hire
Try&Hire ist ein hervorragender Arbeitgeber, der innovative Technologien im Bereich der KI und Computer Vision fördert. Unsere offene und kollaborative Arbeitskultur ermöglicht es Ihnen, an spannenden Projekten zu arbeiten und Ihre Fähigkeiten kontinuierlich weiterzuentwickeln. Zudem bieten wir flexible Arbeitszeiten und die Möglichkeit, in einem dynamischen Team zu wachsen, das sich leidenschaftlich für wissenschaftliche Fortschritte in der Bildanalyse einsetzt.
