Analytics Engineer

Role overview

Build and improve the warehouse models and pipelines that help teams make decisions and support reporting, machine learning, and financial or regulatory processes. As an individual contributor in a multidisciplinary data and engineering group, you’ll work with backend data, improve the warehouse and BI environment, and help keep shared datasets useful, reliable, and cost-conscious.

Responsibilities

- Develop data pipelines and models downstream of backend services, primarily using BigQuery. - Support internal reporting, machine learning, financial reconciliation, and regulatory use cases with well-structured data. - Identify opportunities to simplify warehouse design and reduce cloud costs. - Help define and maintain practices for source payloads, data modeling, implementation, metadata, and testing. - Monitor data quality and investigate issues with colleagues across disciplines. - Apply established warehouse standards while contributing improvements to the team’s approach.

Requirements

- Experience or strong interest in data modeling, ETL, and large-scale data work, gained as an engineer, developer, or analyst. - Confident SQL skills and understanding of data modeling. - Familiarity with data warehousing concepts. - Attention to detail and an interest in supporting data work across different business areas.

Benefits and work setup

The role can be based in a London office or remotely within the UK, with occasional London meetings. Flexible hours are available, and the employer provides a laptop and additional home-working support for fully remote staff. The package includes a £1,000 annual learning budget, visa sponsorship, and incentive awards tied to performance. The listed salary range is £61,200–£75,000.