Energy Data Engineer (all)

About the job

• 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.

• 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.

• Free half-fare travelcard from SBB
• U-subscription from TNW as a job ticket
• Contribution to the GA from SBB
• Use IWB vehicles and e-bikes for business trips

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.