Analytics engineer | Mid-senior
The Data, Research, and Insights department possesses a growth mindset based on insightful data. We enjoy performing statistical analyses with Looker, BigQuery, Google Analytics, and Tableau to conclude product or customer experience improvement.
About the Role: we are looking for an Analytics engineer to transform raw data into reliable, well-structured datasets for business insights. You will design data models, build ETL/ELT pipelines, and collaborate with analysts to optimize data workflows.
Main responsibilities
- Develop and maintain data models using SQL;
- Build and optimize ETL/ELT pipelines for efficient data transformation;
- Ensure data quality through validation, testing, and governance;
- Collaborate with data analysts and engineering teams to deliver trusted datasets;
- Document data transformations and implement best practices.
Core requirements
- 3+ years of data developer/data engineer/analytics engineer or similar experience;
- Strong SQL skills. Also, experience with dbt would be considered a big advantage;
- Hands-on experience with Google Cloud Console and cloud data warehouses (BigQuery, Snowflake, Redshift);
- Knowledge of ETL tools (Airflow, Fivetran, etc.);
- Familiarity with Python;
- Knowledge of BI tools (Tableau, Looker, Power BI);
- Problem-solving mindset and ability to work independently while managing multiple tasks.
Tools you will use
- Google Cloud Platform (BigQuery, Cloud run, Cloud Storage and other), SQL, Looker, Python, dbt, Fivetran.
Salary range
- Gross Salary 3400-6350 EUR/Month.
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Data, Research & Insights
Vilnius / Kaunas
Our values
Our values are rooted in the actions of our people. They describe how we solve problems, make decisions, and ultimately - reach our goals as a team.