We will help prevent a climate crisis by freeing the world from fossil fuels. Our breakthrough direct air capture technology captures CO2 from the atmosphere and produces hydrogen in parallel. The clock is ticking. What are you waiting for?

Join us as a Working Student and become the bridge between Automation & Controls and Process Engineering team by providing data driven insights. The data pipeline is in place; your mission is to unleash its full potential, turning our rich, year-long time-series history into insights, dashboards, and the first generation of data-science models that drive continuous optimization.

• Craft performant InfluxDB (InfluxQL/Flux) queries that power new and existing KPIs—building on a mature metric suite, not starting from scratch.
• Design and iterate Grafana dashboards that surface actionable insights for shop-floor operators, process engineers and also high level dashboards for executives.
• Build on Greenlyte’s first data-science use cases: exploratory analysis, anomaly detection and simple predictive models that improve plant reliability and efficiency.
• Maintain clear documentation: data dictionary, query logic, dashboard layouts and model assumptions.
• Collaborate daily with Automation, Process Engineering to safeguard data quality, security and uptime.

Basic Qualifications

• Enrolled in a Bachelor’s or Master’s programme in Automation, Chemical/Process Engineering, Computer Science, Data Science or similar.
• Solid coursework or hands-on project experience in chemical / process engineering, allowing you to understand complex plant chemistry quickly and translate it into effective data analysis.
• Full-time availability (38–40 h/week) for 4–6 months is preferred. Working students working part time (20h/week) are also welcome to apply.
• Proven project or coursework experience in Python and at web technologies (HTML/CSS/JavaScript or Java).

Preferred Skills & Experience

• Hands-on exposure to Node-RED and PLC ecosystems.
• Familiarity with time-series databases (InfluxDB, TimescaleDB, etc.) and dashboard tools (Grafana, Kibana, Superset, …)
• Basic understanding of industrial protocols (MQTT, OPC-UA, Modbus) and networking.
• Fluency in Flux or InfluxQL, plus experience tuning retention policies and continuous queries.
• Track record of translating complex process data into intuitive visualisations or ML prototypes.
• Comfort with cloud or on-prem solutions for scalable data storage and model deployment.
• Passion for sustainability, curiosity for complex processes, and clear communication in a fast-growing, multicultural environment.

• 20 days vacation plus public holidays to ensure you also have the down time needed to rest and recharge.
• The possibility to grow and shape your role.
• Working with founders who understand - and invest time in - the importance of building a healthy and sustainable organization.
• Open and transparent communication on company development.

This role cannot be done fully remotely. We require someone who lives within commuting distance to Essen.

GCT was founded in September 2022 with the ambition to develop a low-cost, robust Direct Air Capture technology that captures CO2 at world-leading energy rates, whilst supplying hydrogen as a by-product. The company’s technology is based on 15 years of research and has been proven at various scales. Since its founding, the company raised 45-million Euros in funding from leading venture capitalists and renowned business angels.