Full job description

ANALYTICS ENGINEERLONDON/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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