Cloud & Data Engineering Intern / Working Student (m/f/d) - Full-Stack Data Platforms & AI Automation

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 Requirements • Currently studying Computer Science, Data Engineering, Software Engineering, Data Science or a related technical field • Strong foundation in TypeScript/JavaScript, Python and SQL • Experience or strong interest in cloud platforms such as GCP or AWS; Firebase experience is a plus • Hands-on, resourceful mindset – you enjoy understanding existing systems and finding pragmatic solutions • Inte