Analytics Engineer

Harnham
London, UK
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
£70,000.0 - £80,000.0
Working hours
Regular working hours
Job source

Tech stack

Data Analysis BigQuery Information Engineering Python (Programming Language) SQL Databases Git Tools for Reporting Data Pipelines

Job description

  • Build and maintain end-to-end data pipelines
  • Develop scalable data models using dbt and BigQuery
  • Create Python-based ingestion and automation processes
  • Build dashboards and reporting solutions for business stakeholders
  • Partner with product, engineering, marketing, and commercial teams
  • Improve data quality, performance, and scalability across the platform

Requirements

  • Strong experience in Analytics Engineering or Data Engineering
  • Hands-on experience with GCP, particularly BigQuery
  • Strong dbt, SQL, and Python skills
  • Experience building BI dashboards and reporting solutions
  • Familiarity with Git and modern development practices
  • Strong communication and stakeholder management skills

Benefits & conditions

  • Salary up to £80,000
  • Hybrid working
  • Modern cloud-based data stack
  • High level of ownership and autonomy
  • Excellent progression opportunities
  • Please note that sponsorship is not available for this position.

About the company

A fast-scaling, customer-focused organisation investing heavily in its data platform. You’ll join a collaborative team with plenty of opportunity to influence data strategy and deliver real business impact.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.reed.co.uk
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:30 min

Leveraging BigQuery ML for scalable SQL-based segmentation experiments

Julian Joseph · LIVE

6:21 min

Investigating push inefficiencies with upstream Git experts

Jonathan Creamer · Coffee With Developers

1:48 min

Automating exploratory data analysis within training pipelines

Dora Petrella · World Congress 2023

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

1:36 min

Performing exploratory data analysis to uncover underlying patterns

Julian Joseph · LIVE

3:27 min

Explaining query execution overhead and caching limitations in BigQuery

Adnan Rahic · JS Congress

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