PERFORMANCE OPTIMISATION ENGINEER (FMD) | IGNITIS RENEWABLES

Vilnius - Lithuania

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

We are currently looking for a new colleague to join the Asset Performance & Optimization team at Ignitis Renewables where youll 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 wed 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
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.

Qualifications :

An academic degree (or corresponding work experience) in Engineering Physics Data Science Machine Learning or a related field
13 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.

Additional Information :

To take part in an unfolding energy transformation process to create a 100% green and secure energy ecosystem for both current and future generations
International team that is working on dynamic renewable energy projects
A hybrid work model (32) and flexible working hours
Extensive learning and qualification enhancement programs
Attention to physical and emotional health: wellness mentor initiatives and psychological support etc.
Additional paid days for health improvement short-term illness volunteering and accumulated work experience
A package of additional benefits to choose from: pension accumulation health insurance or another benefit from the selectable benefits list in the MELP application.

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% green and secure 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.

Remote Work :

Employment Type :

Full-time

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
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.

Qualifications :

An academic degree (or corresponding work experience) in Engineering Physics Data Science Machine Learning or a related field
13 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.

Additional Information :

To take part in an unfolding energy transformation process to create a 100% green and secure energy ecosystem for both current and future generations
International team that is working on dynamic renewable energy projects
A hybrid work model (32) and flexible working hours
Extensive learning and qualification enhancement programs
Attention to physical and emotional health: wellness mentor initiatives and psychological support etc.
Additional paid days for health improvement short-term illness volunteering and accumulated work experience
A package of additional benefits to choose from: pension accumulation health insurance or another benefit from the selectable benefits list in the MELP application.

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.

Remote Work :

Employment Type :

Full-time

Key Skills

JProfiler
Splunk
Performance Testing
Fiddler
Apache
HP Performance Center
LoadRunner
New Relic
Scalability
J2EE
Java
Scripting

Apply Now

About Company

Ignitis Group

Do you want to contribute to projects ensuring the smooth supply of energy to our homes? Elektros Skirstymo Operatorius (ESO) is a major part of the Ignitis Group – a renewables-focused integrated utility. Our purpose is to create a 100% green and secure energy ecosystem for current a ... View more

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