Design, build, and maintain robust data models using frameworks like dbt
Act as the connective tissue between Data Engineering and Business Intelligence
Bring software engineering rigor to the data stack by managing version control (Git)
Develop and automate testing suites to monitor data quality
Fine-tune data structures for performance in BI tools
Partner with stakeholders to define key metrics (KPIs) and translate complex business requirements

At least 2 years of experience in analytics engineering, data engineering, or a highly technical data analysis role within a modern data stack
Advanced proficiency in SQL
Proven experience using dbt to manage the transformation layer
Strong grasp of dimensional modeling (e.g., Star Schema)
Familiarity with Version Control (Git)
Hands-on experience working within GCP (BigQuery) or similar cloud platforms (Snowflake, Redshift)
A solid understanding of the ELT (Extract, Load, Transform) paradigm
Fluent in English

Take your birthday off
Wrap up two hours earlier on Fridays
Enjoy one work-from-home day each week
20 extra remote days from anywhere in the world
Use personal budget for courses or conferences
Grab any book you need
Join internal trainings, guest lectures, and more
Get covered with prepaid therapy sessions
Personal accident insurance
Private health insurance after 3 months
Sports and wellness events?
Support communities through Orbio Kids, Orbio Academy, volunteering, and charity initiatives in Lithuania and Ukraine

Analytics Engineer

Key skills