Data Engineer

Skills

About the Role

You will build and scale reliable, efficient data pipelines from ingestion through delivery. You will establish dbt practices, data standards, and quality controls; create self-service tools and documentation; and develop AI agents that answer data questions for cross-functional stakeholders.

Requirements

• Demonstrated experience formalising and scaling data pipelines, ideally as an early data engineer on a growing team.
• Expert knowledge of dbt.
• Proficiency with Python, SQL, BI tools, and the modern data stack.
• Ability to simplify complex data into clear structures.
• Ability to understand varied stakeholder requirements and build generalised solutions.

Responsibilities

• Own and streamline data pipelines from ingestion to delivery, ensuring reliability, scalability, and efficiency.
• Implement and maintain dbt best practices, data standards, and quality controls.
• Build self-service tooling and write documentation for cross-functional teams.
• Create AI agents to answer data questions.

Benefits

• Annual discretionary professional-development stipend.
• Annual discretionary stipend for social travel with colleagues.
• Annual company offsite.
• Monthly co-working stipend for employees not near a main hub.