Job highlights

- Bachelor's or Master's in Electrical/Power Systems Engineering with expertise in Python, DIgSILENT PowerFactory, DPL, and power systems analysis
- Develop and enhance Python applications integrated with DIgSILENT PowerFactory, perform power system studies, develop optimization models, and support deployment and testing

Hiring: Power Systems Engineer / Expert Engineer

Experience: 210 Years

Role: Power Systems Engineer / Expert Engineer

Key Skills: Python, DIgSILENT PowerFactory, DPL, Power Systems Analysis, Machine Learning

Industry: Energy & Utilities / Smart Grid

We are looking for a skilled Power Systems Engineer / Expert Engineer to join our global team and develop innovative power system network analytics and Smart Grid solutions for electricity transmission and distribution network operators.

The ideal candidate will have strong expertise in Python programming, electrical power systems analysis, DIgSILENT PowerFactory, and DPL, along with knowledge of mathematical optimization, data analytics, and machine learning.

Key Responsibilities

- Develop and enhance Python-based applications for power system network analysis and analytics.
- Integrate Python applications with DIgSILENT PowerFactory using Python APIs and DPL.
- Perform power systems analysis, including load flow, contingency analysis, fault level calculations, stability assessment, and inertia estimation.
- Develop mathematical models, optimization algorithms, and data processing solutions for electricity networks.
- Work with business analysts, solution architects, and domain experts to implement customer requirements.
- Develop high-quality, scalable, and high-performance Python applications.




- Perform code reviews, testing, deployment, and production implementation support.
- Support SIT, UAT, cutover, and go-live activities.
- Contribute to Smart Grid, machine learning, forecasting, and energy optimization solutions.

Required Skills
- Solid Python programming skills for complex problem-solving, optimization, and data processing.
- Hands-on experience with DIgSILENT PowerFactory, DPL, and Python integration.
- Strong understanding of electrical power systems engineering and component modelling.
- Experience with Pandas, NumPy, SciPy, NetworkX, Pyomo, and relevant machine learning libraries.
- Knowledge of power system studies such as load flow, contingency analysis, fault level calculations, and stability assessment.
- Experience with mathematical modelling, optimization techniques, and linear or mixed-integer programming.
- Familiarity with Git and version control.
- Knowledge of power transmission and distribution networks, electricity markets, or grid operations.
- Good analytical, problem-solving, communication, and collaboration skills.

Good to Have
- Experience with Gurobi, CPLEX, or AMPL.
- Knowledge of C/C++, VBA scripting, and data visualization tools such as Tableau or Power BI.
- Experience with APIs, web services, database integration, and Agile development.
- Exposure to machine learning, deep learning, forecasting, and Smart Grid technologies.

Education Bachelors or Master’s degree in Electrical Engineering, Electrical and Electronics Engineering, Power Systems Engineering, or a related discipline.

Interested candidates with relevant Power Systems, Python, and DIgSILENT PowerFactory experience are encouraged to apply.

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