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