Ignitis Renewables
Tech / AI / Software
PERFORMANCEOPTIMISATIONENGINEER(F/M/D)
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“PERFORMANCE OPTIMISATION ENGINEER (F/M/D) at Ignitis Renewables. Skills: Performance Optimisation, Renewable Energy Assets, Advanced Analytics, Machine Learning, Data Analysis. conduct regular and ad-hoc analysis on performance verification and component health to confirm the status of renewable energy power plants. Developing, running, and improving machine learning models to maximise the benefits of data and enhance predictions”
What You'll Achieve.
ensure our operational renewable energy assets run at optimal performance; maximise the benefits of data and enhance predictions
Industry & Context.
excellent problem-solving skills
What They're Looking For.
Must Have
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, engineering background with a deep understanding of engineering systems, at least a basic knowledge of renewable energy technologies, Proficiency in advanced statistical methods and machine learning techniques, 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, ability to present findings clearly and effectively, Analytical mindset with attention to detail, excellent problem-solving skills, ability to explain technical insights to non-technical stakeholders, Advanced user of MS Office, Fluency in English (minimum B2 level), ability to work both independently and in a collaborative team environment
Nice to Have
ideally within the renewable energy sector or O&M provider organisations
What You'll Do.
conduct regular and ad-hoc analysis on performance verification and component health to confirm the status of renewable energy power plants
and improving machine learning models to maximise the benefits of data and enhance predictions
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
and root cause studies by providing operational data insights
Advising asset supervisors on fault codes
and performance concerns
How You'll Work.
Team & Collaboration
partnership is our strength; work both independently and in a collaborative team environment
Communication Scope
ability to present findings clearly and effectively; ability to explain technical insights to non-technical stakeholders; Fluency in English (minimum B2 level)
Process & Methodology
preparing business cases
Full Job Description
Do you want to contribute to projects that are changing the future of green energy generation across the Baltics? Ignitis Renewables is a part of Ignitis Group – a renewables-focused integrated utility. Our purpose is to create a 100% green and secure energy ecosystem for current and future generations. Ignitis Renewables focuses on developing green generation and green flexibility technologies. By developing onshore and offshore wind, solar, battery and power-to-X technologies, the company is implementing Ignitis Group’s strategic priority to deliver 4–5 GW of installed green capacities by 2030. [www.ignitisrenewables.com](https://www.ignitisrenewables.com/) 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
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