OUR CLIENT – is a new company in Lithuania but is commercially backed by a well-established business abroad. It is a dynamic and innovative gaming company that's passionate about creating immersive and cutting-edge gaming experiences: “Our mission is to empower gaming companies with robust, efficient backend infrastructure that enhances gameplay and user experience. With a team of passionate technologists and industry experts, we foster a culture of innovation, collaboration, and agility — ideal for those who thrive in dynamic, fast-paced environments.”
Responsibilities
- Model and transform data to support reporting and analytics, with a strong focus on star and snowflake schemas;
- Contribute to the development and maintenance of ETL/ELT pipelines feeding the reporting layer;
- Create, optimize, and maintain Power BI datasets and reports (including measures, relationships, and visuals);
- Use SQL and PySpark to clean, join, and aggregate data within the Lakehouse environment;
- Collaborate with data engineers, analysts, and business stakeholders to understand reporting requirements and translate them into robust data models;
- Support monitoring of data quality and performance at the reporting layer and propose improvements where needed.
Requirements
- Practical experience in building Power BI reports (data model, measures, visuals, basic performance optimization);
- Understanding of data modeling concepts, especially Star Schema and Snowflake Schema;
- General understanding of Data Lake / Lakehouse / Data Warehouse architectures;
- Hands-on experience with SQL for querying and transforming data;
- Basic knowledge of PySpark or initial experience with Python/Spark and a strong willingness to develop this further.
Nice-to-have skills
- Exposure to or experience with Microsoft Fabric (Lakehouse, Warehouse, Data Engineering experiences);
- Experience with Azure Data Factory or similar ETL/ELT orchestration tools;
- Experience with MongoDB or other NoSQL databases;
- Familiarity with Git and version control workflows.
Benefits
- Exciting projects using cutting-edge technologies;
- Collaborative and supportive work environment;
- Opportunity to become one of the first faces of the company in Lithuania, with the potential to grow rapidly into a managerial position;
- The offered salary range for this position is 2000-3000€ per month (gross). Salary expectations will be discussed based on your competencies and experience.
Only shortlisted candidates will be contacted.
