Join Ignitis Group's Shared Service Center in Vilnius, Lithuania as a Junior Data Engineer. This hybrid role focuses on building data solutions in a cloud-based Microsoft Fabric data platform to support energy, finance, sales, and other business areas within the Ignitis Group.

Responsibilities

Qualifications:

Develop and maintain data pipelines using Python, Apache Airflow, Microsoft Fabric, and other modern data engineering tools.
Integrate data from various sources, including on-premises systems, cloud platforms, and APIs.
Support the development and maintenance of lakehouse and data warehouse solutions.
Perform data transformation, validation, and monitoring to ensure data quality and reliability.
Troubleshoot pipeline issues and support day-to-day platform operations with guidance from senior team members.
Collaborate with data engineers, analysts, and business stakeholders to deliver data solutions that meet business needs.
Participate in code reviews, testing, documentation, and deployment activities.
Learn and apply data engineering best practices related to security, governance, and performance.
Continuously improve technical skills and contribute to enhancements of existing pipelines and processes.
1–3 years of experience in data engineering, software engineering, analytics engineering, or related technical roles.
Strong SQL and Python skills; ability to write maintainable and efficient code.
Understanding of ETL/ELT processes and data modeling concepts.
Experience developing, supporting, or maintaining data pipelines and data integrati

About the role

Join Ignitis Group's Shared Service Center in Vilnius, Lithuania as a Junior Data Engineer. This hybrid role focuses on building data solutions in a cloud-based Microsoft Fabric data platform to support energy, finance, sales, and other business areas within the Ignitis Group.

Responsibilities

Qualifications:

Develop and maintain data pipelines using Python, Apache Airflow, Microsoft Fabric, and other modern data engineering tools.
Integrate data from various sources, including on-premises systems, cloud platforms, and APIs.
Support the development and maintenance of lakehouse and data warehouse solutions.
Perform data transformation, validation, and monitoring to ensure data quality and reliability.
Troubleshoot pipeline issues and support day-to-day platform operations with guidance from senior team members.
Collaborate with data engineers, analysts, and business stakeholders to deliver data solutions that meet business needs.
Participate in code reviews, testing, documentation, and deployment activities.
Learn and apply data engineering best practices related to security, governance, and performance.
Continuously improve technical skills and contribute to enhancements of existing pipelines and processes.
1–3 years of experience in data engineering, software engineering, analytics engineering, or related technical roles.
Strong SQL and Python skills; ability to write maintainable and efficient code.
Understanding of ETL/ELT processes and data modeling concepts.
Experience developing, supporting, or maintaining data pipelines and data integrati

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