Senior Analytics Engineer

Overview

Senior Analytics Engineer to own and execute the data transformation layer for a remote analytics/data platform.

What you'll do

• Design, build, and maintain scalable data models using dbt and SQL.
• Set and enforce best practices for data modeling, testing, and monitoring to ensure data quality and integrity.
• Collaborate with finance, operations, customer success, and marketing to deliver reliable data products.
• Create repeatable patterns to integrate data models with BI tools and reverse ETL.
• Champion high standards for development, including change management, source control, code reviews, and data monitoring.

What you'll need

• 4+ years of experience in analytics engineering or data engineering focused on the transformation in ELT.
• Own data products end-to-end with best practices to ensure data quality, scalability, and robust models.
• Expert-level SQL and dbt skills for complex queries and transformations.
• Proficiency in Python for transformations beyond SQL.
• Hands-on experience with query optimization across OLTP and OLAP systems (e.g., Postgres, Iceberg).
• Proficiency with Semantic Layer modeling (e.g., Cube, dbt Semantic Layer).
• Familiarity with cloud environments (GCP or AWS).

Details

• Location: Europe - Remote.
• Work is described as a 100% remote team.