The posting
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
Apply online via Try&Hire with your profile — https://tryandhire.io/ch-en/jobs/e/lead-data-platform-engineer-tah-2h44y/



