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
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 and translate complex business requirements into scalable technical architectures

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 is non-negotiable
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
Plus 20 extra remote days from anywhere in the world
Use your personal budget for courses or conferences
Grab any book you need
Join internal trainings, guest lectures, and more
Feel supported with prepaid therapy sessions
Personal accident insurance
Full annual blood tests and vaccination programs
Private health insurance after 3 months
Sports and wellness events on us
Earn extra paid vacation days as you grow with us
Celebrate milestones with travel vouchers
Meaningful rewards, exclusive deals through perks.lt
Your choice of free parking or public transport after 3 months
Enjoy a week-long stay each year in our company apartments in Druskininkai or Kunigiškės
Join team-building activities, cross-team experiences, and everything from casual hangs to unforgettable workations
Welcoming a new family member bonus and flexibility
Additional paid time off for training

Analytics Engineer

Key skills