Power System Modelling Engineer / Software Developer

About the Role
We are seeking a skilled Power System Modelling Engineer / Software Developer to join our team and contribute to the full lifecycle of power system modelling, simulation, and analysis projects. You will focus primarily on steady-state and dynamic power system simulations, network analysis, grid integration studies, and power flow calculations, while also engaging in data handling, scripting, automation, and toolchain development.
This role combines deep power systems expertise, analytical thinking, and software development skills to deliver high-quality modelling results and technical insights for our clients across the European energy sector.
Key Responsibilities
Lead and participate in the design, implementation, testing, and analysis of power system models using commercial tools such as PSS/E (Siemens) or DigSilent PowerFactory, and open-source tools such as PyPSA, PyPowSyBl, or pandapower.
Perform load flow, contingency analysis, short-circuit calculations, dynamic simulations, and grid stability assessments to support transmission and distribution system planning.
Develop and maintain automated workflows, data pipelines, and scripting tools (Python) to support power system modelling and simulation processes.
Conduct grid integration studies for renewable energy sources, including hosting capacity analysis, voltage regulation, and protection coordination.
Collaborate with client teams (TSOs, DSOs) to ensure accuracy and consistency in network data collection, validation, and model maintenance.
Communicate modelling results, methodologies, and assumptions clearly to both technical and non-technical stakeholders.
Contribute to technical documentation, reports, and presentations.
Required Qualifications & Experience
2–7 years of relevant professional experience in power system modelling and simulation.
2+ years of hands-on experience with at least one commercial power system simulation tool (PSS/E, PowerFactory, ETAP, PowerWorld) or open-source equivalent (PyPSA, PyPowSyBl, pandapower).
Proficiency in Python for scripting, automation, and power system analysis workflows.
Solid understanding of power system fundamentals: load flow, fault analysis, dynamic stability, voltage regulation, and protection systems.
Strong skills in data handling, processing, and visualization of network and simulation data.
English language proficiency at B2 level or higher.
MSc degree in Electrical Engineering, Power Engineering, Power Systems, or related field.
Desirable Skills & Assets
Experience with PSS/E automation (Python/IPLAN) or PowerFactory DPL/Python scripting.
Knowledge of CIM/CGMES data exchange standards and network model interoperability.
Familiarity with European grid codes, ENTSO-E methodologies, and TSO/DSO operational frameworks.
Experience with market modelling tools such as PLEXOS or Antares is a plus.
Knowledge of optimization theory and mathematical programming (LP, MILP).
Proficiency in R for statistical analysis or simulation post-processing.
Familiarity with Git or other version control systems.
Ability to translate customer requirements into actionable modelling tasks and deliverables.
Experience in applying AI tools to support programming and analytical work.
Strong communication and teamwork skills, with the ability to meet deadlines.