数据工程师

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!

You will contribute to the creation of a secure and green 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, testing, deployment, and production support
• Continuously improving existing pipelines, performance, maintainability, and data reliability

Required for this position

• 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)
• Familiarity with Git-based development workflows and CI/CD practices
• Understanding of data quality, security, and data governance principles
• 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

In return for creating a more sustainable future, we promise

• 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

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.