{"id":4336871,"url":"https://alion.io/job/campustech-power-system-modelling-engineer-software-developer","title":"Power System Modelling Engineer / Software Developer","company":{"id":4544746,"name":"Campustech","domain":"campustech.io","url":"https://alion.io/company/campustech-2","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Ukraine"],"countries":["UA"],"hiring_countries":["UA"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ETAP","optional":false},{"name":"PowerFactory","optional":false},{"name":"PowerWorld","optional":false},{"name":"PSS/E","optional":false},{"name":"Python","optional":false},{"name":"Git","optional":true},{"name":"PLEXOS","optional":true}],"status":"live","first_seen_at":"2026-11-15T14:34:26Z","employer_posted_date":null,"last_verified_at":"2026-11-15T14:34:26Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"About the Role\n\nWe 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.\n\nThis 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.\n\nKey Responsibilities\n\nLead 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.\n\nPerform load flow, contingency analysis, short-circuit calculations, dynamic simulations, and grid stability assessments to support transmission and distribution system planning.\n\nDevelop and maintain automated workflows, data pipelines, and scripting tools (Python) to support power system modelling and simulation processes.\n\nConduct grid integration studies for renewable energy sources, including hosting capacity analysis, voltage regulation, and protection coordination.\n\nCollaborate with client teams (TSOs, DSOs) to ensure accuracy and consistency in network data collection, validation, and model maintenance.\n\nCommunicate modelling results, methodologies, and assumptions clearly to both technical and non-technical stakeholders.\n\nContribute to technical documentation, reports, and presentations.\n\nRequired Qualifications & Experience\n\n2–7 years of relevant professional experience in power system modelling and simulation.\n\n2+ 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).\n\nProficiency in Python for scripting, automation, and power system analysis workflows.\n\nSolid understanding of power system fundamentals: load flow, fault analysis, dynamic stability, voltage regulation, and protection systems.\n\nStrong skills in data handling, processing, and visualization of network and simulation data.\n\nEnglish language proficiency at B2 level or higher.\n\nMSc degree in Electrical Engineering, Power Engineering, Power Systems, or related field.\n\nDesirable Skills & Assets\n\nExperience with PSS/E automation (Python/IPLAN) or PowerFactory DPL/Python scripting.\n\nKnowledge of CIM/CGMES data exchange standards and network model interoperability.\n\nFamiliarity with European grid codes, ENTSO-E methodologies, and TSO/DSO operational frameworks.\n\nExperience with market modelling tools such as PLEXOS or Antares is a plus.\n\nKnowledge of optimization theory and mathematical programming (LP, MILP).\n\nProficiency in R for statistical analysis or simulation post-processing.\n\nFamiliarity with Git or other version control systems.\n\nAbility to translate customer requirements into 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