Employ GCP tools (dbt, Airflow and Looker) to enhance data quality, efficiency, and delivery of accurate and timely data

Identify, investigate and solve data issues: data quality, data discrepancies, missing data

Contribute to the development and improvement of data solutions

Leverage the power of dbt for overcoming complex modelling problems with a focus on performance, robustness and scalability

Work on prevention and alerting solutions

Adopt and refine our best practices e.g. naming convention, data modeling, and data quality testing

Communicate with cross-functional teams and non-technical stakeholders in a clear and structured manner

Assist and support other team members in the design, development, and implementation of data warehousing, reporting, and analytics solutions

Take ownership of tasks and initiatives

Have at least 2 years of proven SQL skills: ability to join and manipulate data of various types (String, Integer, JSON, Array), write parameterized scripts, debug SQL code

Know ETL and warehousing concepts

Have strong communication skills: timely, clear, and consistent sharing of information, work progress, bottlenecks and findings

Have curious and growth-oriented mindset towards constant learning

Be capable to understand, tackle, and communicate problems from both technical and business perspectives

Be fluent in English

Gross salary range is 3000 – 4000 EUR/month.

This position is remote, but we have plenty of amazing workspaces you can choose from: our awesome headquarters in Vilnius, and super cool hubs in Kaunas, Klaipėda, and Riga!

Submit your details and resume through the application form on the job post page. Make sure to include your skills and passions in the resume.

Step 1: Apply – send us your details and your resume.
Step 2: Meet HR – get to know each other and check for vibe.
Step 3: Meet the Manager – discuss specifics of the position.
Step 4: Testing time – complete test task or test day.
Step 5: Decision – if it’s a match, welcome aboard!