At Siemens PTI, we help customers across the energy sector successfully navigate the energy transition towards a decarbonized future. Our consulting services span from advanced power system studies—including load flow, short circuit and dynamic simulations—to secondary equipment engineering, such as protection settings, as well as strategic consulting in areas like grid data management, wide area protection, renewable energy integration and e-mobility. As part of Siemens AG, one of the world's leading technology companies, we offer outstanding opportunities for professional growth and career development.

Key Role and Responsibilities:
- Execute and manage power system dynamic and transient studies including network and controller modelling in RMS and EMT domain
- Develop comprehensive and high-quality technical study report and deliverables for our customers
- Collaborate and coordinate with customers and project stakeholders
- Travel to various customer locations, in case necessary
- Contribute to business development activities and power system study project acquisition





Qualification and Experience:
- We are seeking a highly qualified technical specialist with expertise in power system network and the following credentials:
- Master’s degree in electrical engineering or a related engineering field, or an equivalent qualification combined with years of relevant professional experience
- Experience in conducting Electro-mechanical and Electro-magnetic Transient studies for Utilities and Industries
- Experience with power system simulation software (PSS/E, PSS/SINCAL, PSCAD and Power Factory)
- Know-how on writing automation scripts in Python or any other commonly used programing language
- In depth understanding high and medium voltage power system, Power electronics and controls, Renewable generation etc.
- Familiar with various relevant international standards (IEC, IEEE etc.) and guidelines (CIGRE)
- Being a team player with strong intercultural sensitivity
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📌 Power System Engineer (Madrid)
🏢 Siemens
📍 Madrid