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G-ResearchSource: Company Careers

Analytics Engineer

On-siteFull-timeMid LevelData Science & AI
Last verified: 4d ago
Two ways to apply: on the employer's site, or submit your CV here
CompensationNot disclosed
LocationLondon, United Kingdom
ListedNov 9, 2026 (4d ago)
DeadlineNot specified

About this role

In G-Research's Data Science & AI area, there is an opening for an Analytics Engineer in London, United Kingdom. It is a Data Science & AI role, and the posting is filed under that category. This is an in-office job in London, not a remote one. Pitched at mid-level, the role expects that amount of experience behind you. Everything else the employer shared, including how to apply, is in the full description below.

Your Career Hunter matched this listing against the employer's careers page on Nov 9, 2026.

Job Overview

Job description provided by G-Research.

G-Research is hiring an Analytics Engineer in London to join its Platform and Data Architecture team within the Strategy and Insights function. The team is responsible for providing timely insights on the firm's health and for developing and delivering G-Research's strategy. The engineer will own the analytics engineering relationship and roadmap for one or more business areas, turning stakeholder priorities into a prioritised programme of work. They will develop clean, tested, documented and reusable datasets that power analyst-led deep dives, stakeholder self-service and agentic data analysis. The role includes building tools such as Python packages and AI-embedded workflows using LangGraph to help analysts and stakeholders work faster and more confidently. Software engineering practice will be applied to the analytics stack, including CI/CD, containerisation, Linux tooling, testing and code review. Candidates need experience in analytics engineering or data engineering, strong data transformation skills using Python and SQL, and hands-on experience with frameworks such as dbt Core and dlt. Fluency in a modern software engineering environment, practical use of AI tools, and a track record of independently owning end-to-end delivery are also required.

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