Python Engineer

• *Who We Are**

Cities are living systems - and trees are some of their most valuable assets. At

• *greehill**

, we’re building the world’s most detailed

• *digital twins of urban forests**

, mapping every individual tree in a city in 2D, 3D, and beyond.

By combining

• *cutting-edge laser scanning**

,

• *AI**

, and

• *machine learning**

, we give cities the insights they need to maintain, protect, and grow their green infrastructure. The result? Smarter operations, healthier citizens, and cities that are more resilient to climate change.

We’re helping redefine what “smart cities” really means - and we’re doing it globally, with teams in

• *Budapest (HQ & R&D), Singapore, Hannover, San Diego or Paris.
• *What You’ll Do

You’ll be a core contributor to the engine behind our platform, working on systems that process massive, complex datasets and turn them into real-world impact.

• Design and write
• *clean, scalable Python code**

to solve challenging, real-world problems

• Build and maintain APIs and data pipelines using
• *FastAPI, SQLAlchemy, and Pandas
• Support and integrate
• *machine-learning workflows

into production systems

• Store, process, and optimize
• *2D, 3D, and GIS data**

at city scale

• Collaborate closely with data scientists, ML engineers, and product teams
• *What We’re Looking For
• Strong Python skills and
• *solid algorithmic thinking
• A
• *team-first mindset**

and comfort working in a collaborative, fast-moving environment

• Curiosity, ownership, and a problem-solving attitude
• *Nice to Have
• Experience working with
• *urban, geospatial, or spatial data
• Familiarity with
• *Docker, Kubernetes, and cloud platforms
• Previous experience in a
• *startup or scale-up

environment

• *Why Join Us
• Make a
• *direct impact on climate adaptation

and the future of cities through technology that actually gets used

• Work on
• *meaningful, real-world problems**

at the intersection of

• *AI, sustainability, and urban tech
• Join a
• *fast-growing, international team

with real freedom to shape both the product and your role

• Learn, experiment, and grow with
• *talented, curious (green-)tech experts**

who genuinely care about what they build

• Develop yourself continuously with
• *access to LinkedIn Learning**

and hands-on learning every day

• *How we work**

– We believe the best ideas happen when people spend time together. That’s why we work

• *4 days a week from the office**

, with

• *1 day from home**

, creating space for collaboration while still keeping some freedom.