Energy Data Engineer (all)

• Further develop the load management tool and optimise the prediction and control of hot water demand in Basel.
• Develop data-driven models and, if necessary, use machine learning methods to optimise and forecast energy systems.
• Build interfaces to internal and external data sources and ensure the reliable provision of energy industry data.
• Ensure high data quality and minimise security risks when handling data. This is how you make us even better

• Completed studies (FH, university or ETH) in computer science, data science, physics, energy engineering, mechanical engineering or a comparable field.
• Good Python skills and experience in developing, maintaining and further developing data or forecasting applications.
• Confident handling of SQL databases and Git.
• Experience with machine learning frameworks (e.g. scikit-learn, PyTorch) is an advantage.
• Knowledge of thermodynamics, energy engineering or related fields will make it easier for you to get started.

IWB supplies people and companies in the Basel region with electricity, heat, drinking water, telecom and mobility solutions. In addition, IWB shapes the climate-friendly energy world of tomorrow.