Data Engineer

We're looking for an experienced Data Engineer to join our Growth team. You will build and scale our data pipelines, establish best practices, ensure data quality, and enable self-service data access across teams.

Key responsibilities include:

• Owning and streamlining data pipelines from ingestion to delivery, ensuring they are reliable, scalable, and efficient.
• Implementing and maintaining dbt best practices, data standards, and quality controls.
• Building self-service tooling and writing clear documentation to empower cross-functional teams (Engineering, Revenue Operations, Growth, and others) to independently meet their data needs.

Requirements include:

• Demonstrated experience formalising and scaling data pipelines, ideally as one of the first or early data engineers on a growing team.
• Expert knowledge of dbt.
• Proficiency with tools across the modern data stack (Python, SQL, BI tools).
• Structured thinking; ability to simplify complex, messy data into clear structures.
• Strong ability to understand varied stakeholder requirements and build generalised solutions.