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