Developer — Forecasting & Optimisation

About the role

We are looking for a skilled Python developer with a strong foundation in mathematical optimisation to join the Forecasting & Optimisation division of the CoMETS Suite — CES's flagship SaaS platform for energy asset revenue analysis. You will work on building and maintaining optimisation models and data pipelines that drive investment decisions in US wholesale electricity markets.

What you'll do

• Research/Learn new and emerging technologies in the energy domain (concentrating on specific areas, e.g. various energy systems, transmission developments
• Develop, test, and maintain Python-based optimisation models simulating the behaviour and revenue potential of energy assets in wholesale electricity markets
• Design, develop, review, re-factor, and maintain software with quality and performance in mind
• Develop the proposed feature/s while maintaining high quality coding standards
• Conduct technical testing to resolve existing or introduced problems

What you need

• 4–7 years in software engineering
• Forecasting
• Python
• Git
• AWS
• Docker
• Machine learning
• Any graduate

Good to have

• Power systems
• Solar
• ETL