Analytics Engineer

Highlights

• Redesign and scale data stack to power BI and natural-language querying.
• Build LLM-powered pipeline steps with evaluation and trustworthy fallbacks.
• Shape how LLMs and agents enter analytics safely and effectively.

What they offer

• Competitive salary
• Benefits package
• Remote working
• Access to unique human data platform
• Mission-driven, impactful culture

Ideal candidate

A commercially-minded data collaborator passionate about data quality and trustworthy answers, who bridges technical and business worlds and cares about using AI responsibly to empower teams.

Requirements

• Deep experience with dbt and SQL to design, build, and maintain scalable data models
• Experience defining metrics, entities, and business logic in a semantic layer for natural language querying
• Hands-on experience using LLMs in data work, including evaluation and governance of non-deterministic outputs
• Familiarity with AI coding assistants and agents and understanding where human review is essential
• Strong familiarity with cloud platforms such as AWS or GCP
• Passion for ensuring high data quality through tests, assertions, evaluations, and documentation
• Ability to understand business needs and communicate effectively with non-technical stakeholders
• Skilled at working cross-functionally and translating complex technical concepts into actionable insights
• Proficiency in designing repeatable, scalable workflows combining automated agents with human oversight