Working Student / Intern – Control Team (Systems & Data Infrastructure) (f/m/d)
Phlair
München · Onsite · Full Time
Posted
Job description
Shape the Future of Climate Tech with Phlair! Fossil fuels have powered our economy for decades—at the cost of pollution and a changing climate. At Phlair, we’re reversing that equation. With our cost-efficient, scalable electrochemical Direct Air Capture (DAC) technology, we pull CO₂ from the air to either store it permanently or repurpose it into CO₂-negative chemicals. Join us in enabling a carbon-negative future. Why We’re Different? We’ve developed a breakthrough hydrolizer for acid/base regeneration, enabling scalable CO₂ capture. With partners like Frontier Climate , Stripe , and Shopify , we’re on track to make a global impact. Our Project Dawn is our flagship initiative, setting the foundation to scale our technology and remove millions of tons of CO₂ from the atmosphere. We're one of the only seven DAC companies with a proven offtake agreement. Phlair is poised to become a technology leader, leveraging renewable energy and low-cost DAC to provide clean energy solutions that go beyond carbon removal. Your Mission at Phlair IoT & Data Infrastructure: Build and manage the pipeline capturing data from our Beckhoff PLCs via OPC-UA and other fieldbus technologies. Database Mastery: Structure and maintain the databases (e.g., InfluxDB, PostgreSQL) that store our experimental data, ensuring it is clean and scalable. Visualization & "Deep Insight" Tools: Own our Grafana stack. Create intuitive dashboards that allow our scientists to compare different experiments in a highly visual and seamless fashion. Full-Stack Automation: Develop internal tools and AI-enabled workflows (using Python or Claude Code) to automate the transition from raw experiment to reported insight. System Reliability: Take responsibility for the health of our data flow from the sensor level to the cloud—no data gaps, no downtime. What You Bring to the Team Education: Currently enrolled or completed studies in Computer Science, Mechatronics, Electrical Engineering, or a related technical field. The "Control" Toolkit: Proven experience with Databases and Grafana. Understanding of IoT architectures and industrial protocols (OPC-UA / Beckhoff PLC experience is a massive plus). Proficient in Python for data processing and automation. High Ownership: You thrive in unstructured environments. You don't wait for a manual; you write it. Attention to Detail: You understand that in hardware-softwar…