Data Engineer / DBT Developer (m/f/n)

We are looking for a Data Engineer / dbt Developer for a long term engagement to join our client's Analytics team and support the development of an end to end analytics platform.

The role involves close collaboration with the Data Engineering and Data Product teams, building efficient data models, and creating clear and valuable data visualisations.

The ideal candidate is regular / mid level, with strong experience in dbt and Snowflake.

The client operates in the AdTech domain, offering an advanced marketing platform that supports campaign automation and performance analytics. The company focuses on building scalable data solutions and tools that provide quick access to key business metrics and insights. Their technology stack is modern, cloud based, and built on best practices in data engineering and analytics.

Technical Requirements – Must Have:

• Experience with dbt (cloud or local).

• Experience with cloud data warehouses: Snowflake (BigQuery/ClickHouse considered a plus).

• Very good knowledge of SQL.

• Experience building robust, scalable data models (Kimball, OBT, Data Vault).

• Understanding of data warehouse principles and ETL/ELT processes.

• Experience with data visualisation tools (e.g., Power BI, Tableau, Looker, QuickSight, Superset, ThoughtSpot).

• Ability to work with raw data and transform it into business insights.

• Strong attention to detail and code quality.

• English at minimum B2+ level.

Technologies Used in the Project:

• AWS S3 & Athena – raw data storage and querying

• Snowflake – data warehouse

• dbt Cloud / Airflow – orchestration

• dbt – transformations and testing

• ThoughtSpot – data visualisation

• GitHub – version control

• Python – integrations and working with API endpoints

Offer:

• Collaboration model: 100% remote

• Rate: 110 PLN/h net+VAT

• B2B contract via SHIMI

• Engagement: long term

• Start: April/May

• Working hours: Standard 8:00–16:00 (occasional later calls possible — flexibility appreciated)