Python Engineer

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greeHill Europe Kft.
Munkavégzés helye

Hibrid • Budapest

Munkaidő, foglalkoztatás jellege
- Alkalmazotti jogviszony
- Általános munkarend
Elvárt technológiák
- PYTHON PANDAS DOCKER CLOUD ACCESS MACHINE LEARNING
Elvárások
- Angol középfok
- Nem kell tapasztalat
- Középiskola

Állás elmentve

A hirdetést eltávolítottuk a mentett állásai közül.

Responsibilities

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

Requirements

Strong Python skills
Solid algorithmic thinking
Team-first mindset
Comfort working in a collaborative, fast-moving environment
Curiosity
Ownership
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

What we offer

Direct impact on climate adaptation and the future of cities through technology
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
Continuous development with access to LinkedIn Learning and hands-on learning every day
Work 4 days a week from the office and 1 day from home

Workplace extras

Shower
Corporate events
Bicycle storage
Sports facilities
Dog friendly

Company info

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. 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.