· Design, build, and Maintain DBT jobs to transform raw data into analysis-ready data sets to be used in BI and analytics applications.

· Maintain a reliable organizational single-source-of-truth schema to support informed, data-driven decisions.

· Design, build, and integrate data into star\snowflake schema models.

· Collaborate with stakeholders (Finance, Commercial, Service, Operations) to understand their reporting needs, and translate them into technical design documents.

· Implement complex business logic in SQL statements, ensuring data consistency, and reliability.

· Work closely with data engineers and BI analysts to shape a modern ELT strategy.

· Establish best practices for semantic data layers and data catalogue dictionary.

· Monitor, troubleshoot, and optimize the health and quality of our data processes.

· Stay up to date with BI development, DBT, and Snowflake; share knowledge, learn new skills, and contribute to the data roadmap.

Requirements:

· Bachelor’s degree in Computer science, Information-systems Engineering or another related field.

· 2+ years of hands-on experience with DBT as a main development tool.

· Strong data modeling skills, with proven experience in a modern cloud data stack.

· Proficiency in SQL for data transformation, exploration, and analysis.

· Experience with Snowflake data warehouse platform.

· Knowledge of Python data-related packages (e.g., Pandas), scripting, and API integrations.

· Excellent English, communication and collaboration skills; strong team player.

· Passion for data quality, consistency, and reliable analytics delivery.

Advantages::

Experience with Airflow as a data pipeline orchestrator
Familiarity with JavaScript for scripting
Experience working with Power BI dashboards and reports