Senior Data Warehouse Engineer (Snowflake, dbt)

Quick Facts

• Role: Data Warehouse Engineer for a modern enterprise data platform

Description

You will build and maintain data pipelines and develop optimized data models to support reporting and analytics. The work focuses on enabling self-service BI and ensuring automated, reliable delivery with strong data quality. You’ll collaborate with cross-functional teams and both technical and business stakeholders, while contributing to data governance, performance optimization, and documentation.

Responsibilities

• Build and maintain data pipelines for analytics and reporting
• Ensure data quality, reliability, and efficient delivery through automation
• Develop and optimize data models for self-service BI
• Support users with data-related questions and reporting issues
• Contribute to data governance and performance optimization
• Collaborate with teams to deliver scalable data solutions
• Create documentation and follow best practices

Requirements

• 4+ years of hands-on experience with Snowflake (or similar) and dbt
• Experience working with complex datasets
• Good Python skills
• Strong data modelling and analytical skills
• Focus on automation and data quality
• Ability to work with both technical and business stakeholders
• Nice to have: experience with Airflow, Fivetran, or BI tools
• Nice to have: interest in using AI tools in data engineering