Analytics Engineer

London Source: WhatJobs

See advert for pay

Overview

As an Analytics Engineer at G-Research, you will own analytics engineering work across one or more business areas, developing clean, reusable datasets and AI-enabled workflows to support data-driven decision making. You’ll build data models and tools, advocate best practices, and collaborate with analysts and stakeholders to turn priorities into a clear roadmap. The role sits within the Platform and Data Architecture team in Strategy and Insights, driving insights on the firm’s health and supporting strategic delivery. This is a chance to shape data platforms and accelerate analyst-led discovery at a world-class quantitative research house.

Pay / Benefits

Highly competitive compensation
30 days’ annual leave
9% company pension contributions
Healthcare and life assurance
Lunch provided via Just Eat for Business
Cycle-to-work scheme

Responsibilities

Own analytics engineering relationship and roadmap for one or more business areas
Develop clean, tested, documented, reusable datasets powering self-service and deep dives
Build tools and AI-enabled workflows to speed analyst work
Apply software engineering practices to the analytics stack (CI/CD, containerisation, Linux tooling, testing, code review)
Collaborate with data analysts and stakeholders, promoting best practices in data modelling and self-service analytics

Key requirements

Experience in analytics engineering or data engineering with strong business acumen
Strong data transformation skills using Python and SQL; experience with dbt core and dlt
Fluent in modern software engineering environment (CI/CD, Docker/Kubernetes, Linux, version control); DataOps understanding
Practical use of AI tools and experience building AI-enabled workflows
Proven track record of end-to-end delivery including scoping, design, delivery, and support
Excellent interpersonal and communication skills for senior stakeholder relationships
Innovative mindset with continuous improvement attitude