Senior Analytics Engineer

📋 Description

• Own and evolve the layered dbt data model, ensuring reliable, consistent, and well-structured data
• Develop and maintain data transformation workflows using dbt and SQL, following best practices for
• Extend existing data models to support the pricing engine MVP, including item categorization and
• Harmonize business KPIs across regions, ensuring consistent definitions and calculations to support
• Build and optimize analytical data solutions using Databricks and Azure.
• Apply Python where needed to support data processing, analysis, and automation.

🎯 Requirements

• Strong experience in analytics engineering, data engineering, or a related data-focused role.
• Advanced proficiency in SQL and hands-on experience with dbt.
• Experience designing and maintaining layered data models for analytics and business intelligence.
• Experience with Databricks and Azure data environments.
• Proficiency in Python for data processing, analysis, or automation.
• Experience with Power BI, particularly data modeling and preparing data for reporting and analytics.

🎁 Benefits

• Competitive Salary
• Generous paid vacation days
• Generous sick time
• 100% paid health & dental benefits starting day one
• Annual profit-sharing distribution
• Paid parental leave