Design and develop modern data engineering solutions — including data pipelines, lakehouse architectures, and analytics platforms — for the largest companies and organizations in Nordics.
Design, build, and maintain scalable data integration and transformation pipelines across cloud-native data platforms.
Apply data modeling and governance best practices to ensure reliable, scalable, and business-aligned analytics solutions.
Collaborate with customers and stakeholders to gather and translate requirements into technical solutions.
Optimize pipeline and platform performance to meet scalability and reliability demands.
Contribute to documentation and knowledge sharing within the team.
Work in agile teams, participating in planning, reviews, and continuous improvement.
Stay current with emerging data technologies and bring relevant innovations into your work.

2+ years of experience in data engineering, data warehouse, or BI development.
SQL skills with hands-on experience in data transformation and querying.
Experience with cloud-native data platforms (Azure, AWS, GCP or similar).
Experience with data integration and orchestration tools (Azure Data Factory, Apache Airflow, dbt, or similar).
Understanding of data warehouse design and modern data modeling concepts (including Medallion architecture, lakehouse design, Star Schema or Data Vault).
Analytical mindset with strong problem-solving skills and ability to work independently.
Fluent English and Lithuanian.

Healthcare: health insurance and mental & emotional support from third-party consultants.
Pension accumulation: the state encourages participation in pension accumulation programs by applying tax benefits.
Flextime: flexible working hours, flexible work from home policy, office workplace and free parking.
Leisure together: excursions, team buildings, pizza Fridays, techie club, sports training or board games nights. We also have a sauna!

Data Engineer

Key skills