Analytics Engineer

Role Overview

As an Analytics Engineer in the Data Infrastructure Team at Prolific, you’ll be at the forefront of transforming and maintaining Prolific’s data infrastructure as the way people work with data changes rapidly. Your work will be instrumental in redesigning and scaling our data stack, ensuring data pipelines are robust, efficient, and reliable, and that our data is ready to be queried by people and AI systems alike.

What You Will Do

Building complex dbt models, custom macros, and reusable packages. Designing and maintaining a semantic layer with well-defined metrics, dimensions, and descriptions so that stakeholders and AI assistants can query company data in natural language and get consistent, accurate answers.

Why It Might Be a Fit

You’ll help shape how we bring LLMs and agents into analytics engineering safely and effectively, and you’ll bridge the gap between technical and non-technical stakeholders so that complex data solutions are clearly understood and aligned with business goals.

Requirements

• Expertise in dbt & SQL
• Semantic Modelling
• Applied AI in Data Workflows
• Agentic Tooling
• Cloud Technology Knowledge
• Data Accuracy Focus
• Commercial Acumen
• Collaboration
• Process-Driven

Benefits

• Competitive salary
• Benefits
• Remote working within our impactful, mission-driven culture