Senior Python Developer

Description de l'emploi

•  Paris, France
•  Environment / Sustainable Development
•  79679

Job Description

Join the EcoActs Climate Data Analytics team and help us scaling our impact on climate change by developing digital products that support our clients in defining low-carbon strategies.

EcoActs vision: a Net Zero & Sustainable World 

• Our mission: to globally contribute to the net zero transformation by delivering impactful and innovative solutions
• Our scope of activity: all climate-related services that companies and territories need to successfully change (climate risk assessment, carbon footprint, CO2 reduction strategy, etc.)
• CDAs role: design innovative methods and tools to answer to clients needs related to climate change.
•  Your challenge: translate EcoActs expertise into powerful digital products!

Your mission 

Involved in all phases of the software development lifecycle, you will be in charge of developing digital products from the work developed by the climate experts of the team (methodology descriptions or proofs of concepts):

• Define the technical specifications of bespoke digital products
• Build efficient back-end features and API
• Collaborate with UX/UI designers to implement design into the code
• Challenge existing products, propose and implement changes
• Coach junior developers, promote and ensure best practices
• Improve software knowledge of climate experts

Must have 

• Interest in environmental issues (energy, climate)
• 5+ years of professional experience in Python development
• Experience with FastAPI, NumPy, Pandas
• Experience with one python dashboard framework (Dash, Streamlit, Taipy)
• Experience with SQL (Postgresql...)
• DevOps culture (docker, docker-compose)
• Fluent in French and English

Nice to have 

• PhD in Mathematics/Physics/Computer Science
• Experience working in CI/CD (Github CI, etc.)
• Knowledge in applied mathematics and/or data science
• Knowledge of React, JavaScript
• Experience in cloud infra (Azure...)
• Experience with NoSQL (MongoDB...) databases
• Experience with Scikit-learn