Frontend Software Engineer (m/w/d)
AIRMOStellenbeschreibung
Your mission
We are looking for a Frontend Software Engineer to continue developing the frontend of AIRMO’s Global Insights Platform, AIRMO’s greenhouse gas emissions intelligence platform. You will help us develop a modern, scalable frontend stack, building an intuitive and responsive user experience for environmental analytics customers across the globe. This role offers the opportunity to grow, shape the product, and contribute to meaningful climate impact through technology.
Specifics
Working in Luxembourg with Jonas, Teresa and Eduardo, you’ll join the Berlin team (Kirill, Dan, Manuel) to build on our satellite data platform.
- Core tech - React, python3/FastAPI, GIS, github, GCP
- Main task - Develop our satellite data interface frontend
- Develop, maintain, and improve the frontend of our Global Insights platform
- Work closely with backend, product, and data teams to turn complex geospatial and emissions data into clear and actionable visualizations
- Implement clean UI components, dashboards, and user workflows for data exploration
- Ensure a smooth user experience across browsers and devices
- Write clean, maintainable code with version control on GitHub
- Deploy and maintain frontend services on Google Cloud Platform (GCP)
- Collaborate with the team and contribute to product discussions, UX improvements, and technical decisions
- Take ownership on decisions - you should be excited to take responsibility over key software features
Your profile
The ideal candidate will have:- At least 3 years of experience in frontend development
- Solid experience with TypeScript and at least one modern framework (e.g. React, Angular) — React preferred)
- Understanding of UI/UX fundamentals and component-based design
- Experience working with frontend-GIS libraries (MapLibre, Leaflet etc.)
- Experience with APIs, responsive layouts, and dashboard-style applications
- Working knowledge of Git/GitHub
- Eagerness to learn, grow, and take ownership of a core product area
- Comfortable collaborating with teams using Python-based backends (xarray, NumPy, etc.)
- Geo or Earth Observation data
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