PFASuiki is a climate-tech startup with a clear mission: creating a world free from persistent “forever chemicals.
” Using advanced electrochemical oxidation technology, we develop solutions to permanently destroy PFAS and transform contaminated streams into safe water.
We are looking for an ambitious Cloud & Data Engineering Intern / Working Student to help build the digital backbone of our technology development.
You will work at the intersection of cloud engineering, full-stack development, scientific data and AI – turning experimental data and analysis tools into scalable, production-grade infrastructure.
Location: Oberhaching (South of Munich) – 100% on-site.
Tasks • Maintain and optimize our GCP/Firebase cloud infrastructure with a focus on reliability, scalability and security • Expand our TypeScript/JavaScript-based laboratory data platform and improve the user experience for R&D and engineering teams • Build robust data pipelines connecting experimental data, databases, analysis tools and dashboards • Translate existing scientific Python analysis code into scalable, web-based workflows • Identify and implement LLM/AI integrations for data synthesis, automated reporting and environmental/industry intelligence • Develop clear dashboards that turn complex electrochemical data into actionable insights • Improve our existing codebase, architecture and technical documentation to evolve prototypes into sustainable company standards • Work directly with our R&D and engineering teams to identify opportunities for further digitalization and automation.