PERFORMANCE OPTIMISATION ENGINEER (F/M/D) BESS | IGNITIS RENEWABLES

Ignitis Group; Warszawa; Hybrid; PLN 110,000 - 170,000; Full time

Benefits offered by this job

Hybrid work model

Learning and qualification enhancement

Additional paid days for health andvol

Job summary

Ignitis Group in Poland is seeking a Performance Optimisation Engineer (F/M/D) to ensure renewable assets, especially Battery Energy Storage Systems, run at optimal performance through advanced analytics.

You will develop ML models for forecasting, deterioration and fault prediction, run analyses, and propose upgrades. Collaboration across teams and clear communication with stakeholders is essential.

Qualifications

• Academic degree in Engineering, Physics, Data Science, ML, or related field.

Responsibilities

• Conduct performance verification and health analyses for renewables, focusing on Battery Energy Storage Systems.

Skills

Engineering background

Statistical methods & ML

Data visualization

Analytical mindset

MS Office

English proficiency (B2+)

Education

Bachelor's or higher in Engineering/Physics/Data Science/ML

Tools

Power BI

MS Office

Job description

PERFORMANCE OPTIMISATION ENGINEER (F/M/D) BESS | IGNITIS RENEWABLES

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 secure and green 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 Battery Energy Storage 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.

In return for creating a more sustainable future, we promise:

• To take part in an unfolding energy transformation process to create a 100% secure and greenenergy ecosystem for both current and future generations
• International team that is working on dynamic renewable energy projects
• A hybrid work model (3+2) and flexible working hours
• Extensive learning and qualification enhancement programsAdditional paid days for health improvement, short-term illness, volunteering, and accumulated work experience.

Join a growing and increasingly international team of energy smart people united by a common purpose. We all play our part in creating a 100 % secure and green energy ecosystem for current and future generations.

And the way to achieve this is certainly not to wait for the perfect moment. We believe that the power to act comes from the charge we bring to our work every day. United by purpose. Owning the challenge. Passion for reinvention. Pursuing excellence. These are our mindsets. Together, they yield the energy that drives everything we do. The energy generated by our choices. If you are guided by the same mindsets – we look forward to welcoming you to our team!

As we pursue our strategic goals to increase gender balance in Ignitis Group, we are indicating “f/m/d” next to job titles, meaning we welcome candidates of all genders – female, male or diverse.

Ignitis Group ensures equal opportunities. We welcome all applicants and do not discriminate against race, religion, gender, sexual orientation or gender identity, age, disability or other personal traits unrelated to work obligations.

Share this job offer on your social networks and help us find talents shaping a sustainable future. Together, let’s empower the energy transformation!

About us

Ignitis Group is one of the largest energy and renewable energy companies in the Baltic region. The company operates in Lithuania, Latvia, Estonia, Poland, and Finland. Its innovation fund has invested in 17 companies across seven countries worldwide, focusing on developing new technologies in energy and electrified mobility.

Some say – if you have a firm place to stand and a lever, you can move the world. In our hands, the lever of innovation and commitment transforms challenges into opportunities, moving the world towards greener energy solutions.