DATA ENGINEER

Do you want to contribute to projects shaping the future of energy in the Baltics and beyond? Ignitis Group shared service center is a part of the Ignitis Group – a renewables-focused integrated utility. Our purpose is to create a 100% secure and green energy ecosystem for current and future generations.

The Centre boasts a diverse range of competencies that not only ensure the smooth operation of daily activities across the Group but also support the energy transition in the Baltic Sea region. We are involved with all the Group’s products, from solar parks to electric vehicle charging stations. Given the scope and variety of projects, our team includes specialists in multiple disciplines, such as law, IT, HR, communications, procurement, and more. Every colleague, regardless of their area of expertise, contributes to the development of energy independence in Lithuania and beyond, extending to neighboring countries.

www.ignitisgrupe.lt

We are looking for a colleague, who would join the Data Engineering Team and help us develop Data solutions in a cloud based Microsoft Fabric data platform. Advanced data analytics will be one of our key sources of global competitive advantages. Sales, financial, technical, people, smart metering and a lot more of Ignitis group energy data solutions. If that speaks to you, we’d be happy to welcome you to our team!

Take YOUR part in #EnergySmart!

• Building and operating reliable, scalable data pipelines using Python, Airflow and Microsoft Fabric
• Integrating data from 50+ sources (on-prem, cloud, APIs) into a unified data platform
• Designing and evolving lakehouse/warehouse patterns, data models, and transformation layers
• Owning data quality, observability, security, and compliance-by-design across pipelines and storage
• Leading technical solution design end-to-end — from requirements to production rollout
• Ensuring data quality, security, and compliance with organizational and regulatory standards

• 5+ years of experience in data engineering
• Strong SQL and Python skills
• Expertise with data modelling, ETL/ELT and warehouse/lakehouse concepts
• Expertise with building data pipelines using common orchestration tools such as Airflow
• Experience leading and implementing data governance frameworks and data cataloging tools
• Comfortable with mentoring and growing more junior team members

Would be an advantage:

• Experience or familiarity with Microsoft Fabric or Microsoft Azure in general
• Experience with dbt

Additional Information

• A package of additional benefits to choose from: pension accumulation, health insurance, or another benefit from the selectable benefits list in the MELP application
• Additional paid days for health improvement, short-term illness, volunteering, and accumulated work experience
• A hybrid work model (3+2) and flexible working hours
• Internal career opportunities
• Extensive learning and qualification enhancement programs
• Mentorship-based culture designed to facilitate meaningful and value-driven work
• Take part in an unfolding energy transformation process to create a 100% secure and green energy ecosystem for both current and future generations

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.