ANALYTICS ENGINEER LONDON/HYBRID
UP TO £80,000
This is an exciting opportunity for an Analytics Engineer to take ownership of the full data lifecycle within a growing, data-driven business. You'll work across analytics engineering, data engineering, and business intelligence, helping shape how data powers decision-making, product development, and commercial growth.

ROLES AND RESPONSIBILITIES

The Analytics Engineer will

Design, build, and maintain end-to-end data pipelines from source systems through to analytics-ready datasets
Develop scalable and well-documented transformation pipelines using dbt and BigQuery
Write and maintaining Python-based data ingestion and automation processes
Create dashboards, reports, and KPI frameworks to support commercial, marketing, and product teams
Collaborate with technical and non-technical stakeholders to translate business requirements into data solutions
Monitor data quality and identifying opportunities to improve platform performance and scalability
Support the adoption of self-service analytics across the organisation

YOUR SKILLS AND EXPERIENCE

The ideal candidate will have the following skills and experience:
Strong commercial experience with Google Cloud Platform, particularly BigQuery and related cloud services
Hands-on expertise with dbt, including testing, documentation, and data modelling
Advanced SQL skills with experience optimising queries and building analytical datasets
Strong Python skills for data extraction, automation, and orchestration
Experience building dashboards and reporting solutions using BI tools such as Looker Studio, Metabase, or similar
Familiarity with Git, version control, and modern engineering practices
Ability to communicate effectively with both technical teams and business stakeholders
Comfortable working in a fast-paced environment and taking ownership of projects from inception to delivery
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