DATA ENGINEER (F/M/D)

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% green and secure 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 neighbouring 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! You will contribute to the creation of a green and secure energy ecosystem by: Building and maintaining reliable and scalable data pipelines using Python, Airflow, and Microsoft Fabric Integrating data from diverse sources (on‑prem, cloud, APIs) into a unified data platform Implementing and improving lakehouse / warehouse data models and transformation layers Supporting data quality, monitoring, security, and compliance across pipelines and storage Collaborating with senior engineers, analysts, and business stakeholders to deliver data solutions Participating in solution design discussions and contributing to production rollouts Continuously improving existing pipelines, performance, and data reliability 2 – 4 years of experience in data engineering or a closely related role Strong SQL and Python skills Solid understanding of ETL / ELT, data modeling, and warehouse/lakehouse concepts Experience building and maintaining data pipelines using orchestration tools (e.g. Airflow) Awareness of data quality, security, and governance best practices Ability to work independently on tasks while collaborating effectively within a team Motivation to learn, grow technically, and take increasing ownership over time Would be an advantage: Experience or familiarity with Microsoft Fabric and/or Microsoft Azure Exposure to data governance or data cataloging tools Experience working with large‑scale or complex data ecosystems 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% green and secure 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.