DIGITAL ENGINEER (F/M/D) I IGNITIS RENEWABLES

Company 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

Job Description

We are currently looking for a new colleague to join the Engineering Team of the Ignitis Renewables, where you’ll take care of the current workflows evaluation within the Engineering department, identify the opportunities for automation and enhancement. 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:

• Researching and utilizing industry-standard software and tools to create 3D models of upcoming projects (Wind, Solar, BESS)
• Designing and implementing algorithms, software solutions, and other digital tools to boost operational efficiency
• Collaborating with interdisciplinary teams, including engineers, data analysts, and project developers, to integrate newly created and standardized processes for more efficient workflow
• Identifying and implementing AI-driven solutions to enhance various engineering processes, such as predictive maintenance, energy optimization, and automation
• Providing training and support to team members on new digital tools and AI technologies to ensure effective adoption and utilization
• Leading initiatives such as AI-focused Hackathons
• Staying up to date with emerging technologies and industry trends to continuously improve digital capabilities.

Qualifications

• An academic degree in computer science, computer engineering, information technology or a relevant field
• 2-3 years of experience in a relevant field such as digital engineering, data science, computer science, or software engineering
• Proven track record in implementing digital solutions and automation solutions, as well as hands-on experience with AI and machine learning frameworks
• Proficiency in MS Office and programming languages (Python, Java, or C++)
• Strong foundational knowledge of data science, cybersecurity principles and best practices, big data technologies and their application in engineering contexts
• Great communication and presentation skills, analytical mindset and strong attention to detail
• Proficiency in English, both written and spoken.

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 (3+2) and flexible working hours
• Extensive learning and qualification enhancement programs
• Attention to physical and emotional health: wellness mentor initiatives and psychological support, volleyball, and basketball teams, etc. 
• 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.

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 is committed to a policy of equal employment opportunity and does not discriminate against race, religion, gender, sexual orientation or gender identity, age, disability or other personal traits unrelated to work obligations.