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# Analytics Engineer

- **Company:** Harnham
- **Location:** London, UK
- **Salary:** £70,000.0 - £85,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, BigQuery, Extract Transform Load (ETL), Data Mining, Data Systems, DevOps, Python (Programming Language), Cloud Services, SQL Databases, Google Cloud, Data Ingestion, Sql Optimization, Google Data Studio, Git, Google Bigquery, Tools for Reporting, Software Version Control, Data Pipelines
- **Published:** November 3, 2026
- **Apply:** https://www.reed.co.uk/jobs/analytics-engineer/57517374

## About the Role

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, * Cloud Services & Infrastructure
 * Communication Skills (Key)
 * Data Analysis (Administration)
 * Data Modeling (Model)
 * Dialectical Behavior Therapy (DBT)
 * ETL (Extract Transform Load)
 * Google BigQuery
 * Python Programming (Beginner)
 * SQL Databases
 * Stakeholder Management (Business)

## Description

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