Analytics Engineer

We’re supporting an FCA-regulated organisation with the hire of an Analytics Engineer to strengthen its modern data and analytics capability. This is a hands-on role focused on building trusted, reusable data assets that support reporting, product insight and decision-making across the organisation. What you’ll be doing: * Designing and maintaining clean, scalable data models (e.g. star/snowflake schemas) and defining consistent business metrics * Building and improving ELT pipelines in Databricks using SQL and Python/PySpark, with a focus on reliability and performance * Feeding curated datasets into Power BI (including modelling and DAX where required) to support trusted reporting * Working closely with stakeholders to gather requirements, translate them into data logic, and improve how analytics is consumed * Contributing to good practice around documentation, data quality checks, lineage/metadata and version control, helping raise standards across the analytics function What we’re looking for: * Hands-on experience in Databricks plus strong SQL and Python/PySpark * Evidence of owning end-to-end analytics delivery * Comfortable working with business and product stakeholders, challenging requirements when needed and translating them into clear data logic. * Strong data modelling skills and confidence defining/standardising metrics * Good Power BI experience (data modelling; DAX beneficial) Location / working pattern Hybrid: typically 2–3 days per week onsite, split between London and Ipswich