Data Engineer At BI unit we challenge ourselves daily with enterprise level data warehouse and Azure data platform projects where analytics and complex calculations are strongly involved. Apply here Twoday is a leading Northern European AI and digital engineering company with 3,000 experts across AI, data & analytics, cloud, digital engineering, and business applications. We help organizations create lasting impact through advanced technology and close collaboration. The company is owned by CVC Capital Partners and is on an ambitious growth and transformation journey across the Nordics. Twoday is a strategic partner to Databricks, Microsoft, and Snowflake, with deep expertise in modern data platforms, custom software, and business-critical enterprise solutions. Technology stack: Modern cloud data platform and analytics services: Microsoft Azure (Azure SQL, Azure Data Lake, Azure Synapse Analytics, Azure Data Factory, Microsoft Fabric), Databricks (PySpark, SparkSQL), dbt, Power BI. In this role, you will: 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. What do we expect? Strong communication skills and ability to collaborate effectively in a team environment. 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. Bonus points: Experience with Databricks, PySpark, or SparkSQL. Familiarity with Microsoft Fabric or Snowflake. Experience with BI tools such as Power BI, Tableau, or Qlik. Experience with Python or C#. Familiarity with CI/CD practices and version control tools (Git). We value data experience in all forms: If you have built your career on platforms such as SAP, Oracle, IBM, or Teradata and are ready to bring that expertise into the modern cloud data world — we want to hear from you. What should you expect? Committees: from the conferences we attend to ideas like workplace design - you’ll have the chance to create an organisation you dream to work in by joining 1 of 10 our committees. 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! Gross salary: 2500 - 6375 EUR. Your salary is based on your competence and experience. This role is open only to candidates with Lithuanian citizenship or a valid work permit in Lithuania. We are currently unable to relocate candidates from outside Lithuania or offer remote working opportunities outside Lithuania. Department Data Science & Analytics Locations Kaunas Remote status Hybrid