Performance Optimisation Engineer

Performance Optimisation Engineer

Ignitis

Vilnius, Lithuania

We are currently looking for a new colleague to join the Asset Performance & Optimization Office at Ignitis Renewables, where you’ll ensure our operational renewable energy assets run at optimal performance by applying advanced analytics and identifying upgrade opportunities. We value openness, partnership is our strength, and responsibility makes us a great team. If that speaks to you, we’d be happy to welcome you to our team!

Take YOUR part in #EnergySmart! 

You will contribute to green and secure energy ecosystem creation by:

• Using best-practice approaches to conduct regular and ad-hoc analysis on performance verification and component health to confirm the status of renewable energy power plants, with a particular focus on High-Voltage and Power Conversion Systems
• Developing, running, and improving machine learning models to maximise the benefits of data and enhance predictions, such as performance forecasting, asset deterioration, condition monitoring, and fault prediction
• Identifying areas of potential performance improvement across the renewable energy portfolio
• Conducting market research studies on asset upgrade options, evaluating their viability, and preparing business cases
• Supporting investigations into lost production events, fault analysis, and root cause studies by providing operational data insights
• Advising asset supervisors on fault codes, technical issues, and performance concerns.

Required for this position:

• An academic degree (or corresponding work experience) in Engineering, Physics, Data Science, Machine Learning, or a related field
• 1–3 years of experience in engineering or a similar role, ideally within the renewable energy sector or O&M provider organisations
• Strong engineering background with a deep understanding of engineering systems and at least a basic knowledge of renewable energy technologies
• Proficiency in advanced statistical methods and machine learning techniques, with the ability to develop or improve tools for large-scale data analysis
• Skilled in research and evaluation of asset upgrade options, including technical and commercial viability assessment
• Proficient in data visualization using tools such as Power BI, with the ability to present findings clearly and effectively
• Analytical mindset with strong attention to detail, excellent problem-solving skills, and the ability to explain technical insights to non-technical stakeholders
• Advanced user of MS Office
• Fluency in English (minimum B2 level), with the ability to work both independently and in a collaborative team environment.