Analytics Engineer

Prolific - Remote UKRemoteFull-time2026-10-15 → 2026-11-10

Core

Designing, building, and maintaining scalable data models and a semantic layer to power BI dashboards and natural language queries for people and AI systems.

Role type

Senior Analytics Engineer (Data Infrastructure)

Builds

Robust data pipelines, semantic layers, and LLM-powered data transformations

Domain

AI data infrastructure, cloud data platforms

Deliverable

production ML models

Required skills

dbt, SQL, semantic modeling, LLM integration, agentic workflows, cloud platforms (AWS/GCP), data testing, documentation

Preferred skills

AI coding assistants, cross-functional communication, mentoring

Technologies

dbt, SQL, AWS, GCP, LLMs, agentic tooling

Responsibilities

Create complex dbt models and optimize transformations; Design and maintain a semantic layer for natural language querying; Build and productionize LLM-powered data transformations; Develop agentic workflows for the analytics lifecycle; Monitor and maintain dbt workflow jobs; Write tests and assertions to ensure data integrity; Document dbt processes and semantic definitions; Translate technical data concepts for stakeholders; Mentor junior team members

Seniority

Senior, hands-on IC

About Prolific

Prolific isn’t just enabling AI innovation – we’re redefining it. While foundational AI technologies are becoming commoditized, Prolific’s human data infrastructure provides the high-quality, diverse data required to train the next generation of AI models. Through our platform, we empower researchers and companies to access a global, ethically curated participant base, ensuring cutting-edge AI research and training grounded in inclusivity and precision.