Analytics Engineer: Build AI-Driven Data Platforms

G-Research

Greater London

On-site

GBP 60,000 - 80,000

Full time

14 days+

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Benefits offered by this job

Highly competitive compensation
Annual discretionary bonus
Lunch provided
30 days annual leave
9% company pension contributions
Comprehensive healthcare
Cycle-to-work scheme
Monthly company events

Job summary

G-Research is seeking an Analytics Engineer in London to develop data models and AI-assisted workflows. The role involves owning stakeholder relationships and delivering analytics engineering work to support data-driven decisions. Candidates should have strong experience in analytics engineering, data transformation using Python and SQL, and familiarity with CI/CD and AI tools. The company offers competitive compensation, comprehensive healthcare, and a supportive work environment.

Qualifications

  • Experience in analytics engineering, data engineering or a similar role.
  • Strong data transformation skills using Python and SQL.
  • Fluent in CI/CD, Docker/Kubernetes, and Linux.
  • Practical use of AI tools in your day-to-day work.
  • Proven track record of independently owning delivery.
  • Excellent interpersonal and communication skills.
  • An innovative mindset with a desire to improve.

Responsibilities

  • Own the analytics engineering relationship and roadmap.
  • Develop clean, tested, and reusable datasets.
  • Build tools and AI-embedded workflows.
  • Apply software engineering practices to the analytics stack.
  • Collaborate with data analysts and business stakeholders.

Skills

Analytics engineering
Data transformation using Python
SQL
CI/CD
Docker/Kubernetes
Version control
AI tools
Interpersonal skills

Tools

dbt core
dlt

Job description

G-Research is seeking an Analytics Engineer in London to develop data models and AI-assisted workflows. The role involves owning stakeholder relationships and delivering analytics engineering work to support data-driven decisions. Candidates should have strong experience in analytics engineering, data transformation using Python and SQL, and familiarity with CI/CD and AI tools. The company offers competitive compensation, comprehensive healthcare, and a supportive work environment.
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