DATA ENGINEER (F/M/D)

Company Description

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

Job Description

We are looking for a colleague, who would join the Data Engineering team and help us take care of Microsoft Fabric data platform. Advanced data analytics will be one of our key sources of global competitive advantages. We are inviting you to be a part of DWH team while developing "Ignitis" Group Data Warehouse (DWH) and Business Intelligence (BI) 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 green and secure energy ecosystem creation by:

• Designing, developing, and maintaining data pipelines using Microsoft Fabric and Apache Airflow;
• Ensuring that developed solutions aligns with requirements and DWH architecture;
• Working with Data Analyst teams to find the best DWH /BI solution for business;
• Understanding, creating and applying technical documentation in solutions development;
• Improving development process.

Qualifications

• 2+ years ETL development and data warehousing experience;
• Python programming and SQL using skills;
• Hands-on experience with Apache Airflow;
• Knowledge of Data Warehouse building principles, including data modelling, building and optimizing data pipelines, architectures and data sets;
• Experience with version control systems (e.g., Git) and CI/CD.

Would be an advantage: 

• Hands-on experience with Docker; 
• Experience with Linux operating system;
• Experience in Microsoft Fabric, Azure or cloud data platform;
• Experience with PySpark.

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% 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% 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.