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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.
Job Responsibility
Own and streamline data pipelines from ingestion to delivery, ensuring they are reliable, scalable, and efficient
Implement and maintain dbt best practices, data standards, and quality controls
Build self-service tooling and write clear documentation to empower cross-functional teams (Engineering, Revenue Operations, Growth, and others) to independently meet their data needs
Create AI agents to serve data questions for others
Requirements
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 (required)
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.
What we offer
Innovative culture
Growth paths
Learning & development (annual discretionary stipend)