Analytics Engineer (12-month FTC)

I'm hiring an Analytics Engineer on a 12‑month maternity cover FTC for a purpose‑driven digital health organisation. This is a hands‑on, high‑impact role focused on owning the modelling layer of a modern data stack - ensuring critical pipelines continue to deliver as the business scales. The company A fast‑growing digital healthcare provider working with NHS trusts, insurers, and private healthcare organisations. They're building a modern data platform to support clinical outcomes and operational performance, with a strong focus on"data for good" and real‑world impact. The role You'll step into a Senior Analytics Engineering seat, taking ownership of core dbt models and pipelines that underpin business‑critical reporting and billing processes. This role is central to ensuring continuity - keeping momentum on existing builds while contributing to new modelling work. What you'll be doing • Own and deliver in‑flight data projects (including billing automation pipelines) • Build and maintain dbt models (fact tables, dimensions, metric layers) • Design and enforce strong data modelling standards (star schema, grain, metadata discipline) • Review SQL and dbt work from analysts, supporting best practice and quality • Work closely with data engineering on pipeline workflows (bronze → silver → gold) • Ensure clean documentation and handover at the end of the contract Tech stack • dbt (core focus) • SQL & Python • Databricks / modern lakehouse architecture • Power BI + semantic layer for reporting What you bring Must‑haves • Strong hands‑on dbt experience (modelling, testing, review) • Advanced SQL skills • Strong understanding of data modelling (star schema, grain, dimensions/facts) • Experience working in modern cloud data environments • Ability to review and improve other analysts' work Nice to have • Databricks / lakehouse experience • Experience with finance / billing data • Experience in regulated environments (healthcare, finance, etc.) What they're looking for • A confident, independent analytics engineer • Someone comfortable stepping into an existing setup and adding value quickly • Strong attention to quality, documentation, and best practice • Comfortable working in a collaborative, low‑ego environment Why this role • High ownership of a critical part of the data platform • Work on meaningful projects in a mission‑driven organisation • Modern tech stack with strong engineering practices • Fully remote, flexible working • Opportunity to leave a lasting impact on how the platform is built Interview process • Initial conversation (technical + fit) • Short SQL/dbt test • Final technical + values interviews