Power System Engineering Early Career Traineeship

Key Responsibilities

• Support the operation maintenance and troubleshooting of power applications and related functions.
• Analyze the power application performance and identify issues to ensure reliable operation.
• Work with internal teams and customers to implement fixes enhancements and improvements.
• Create and maintain databases displays and related configurations.
• Tune power applications to improve performance stability and user experience.
• Provide technical support documentation and training when required.

Required Qualifications

• Bachelors degree in Electrical Electronics Electromechanical Control and Instrumentation or/and Power Systems Engineering or a related field.
• Fresh graduates or up to 2 years of experience.
• knowledge of Power System domain ideally within the renewable energy sector.
• Must commit to work full time during the traineeship.

• The legal right to work in KSA without company sponsorship or time restriction.

Desired Characteristics

• Ability to register to the Saudi Engineering Council
• Must be based in Saudi Arabia and willing to travel if needed
• Strong understanding of power systems distribution networks and renewable energy technologies.
• Knowledge of computer science fundamentals such as object-oriented design operating systems algorithms data structures and complexity analysis
• Experience with at least one modern language such as Java Python C or C# including object-oriented design.
• Prior intern experience in software electrical engineering power systems or relevant area.
• Excellent team player whilst maintaining an independent perspective.
• A strong commitment to a career in technology and passion/aptitude for both software and electrical engineering.
• Strong analytical and technical skills with experience in software industry standards and development tools. Excellent written and verbal communication skills and ability to articulate clearly in English language
• Demonstrated creative problem solving and proactive learning.