Data Analytics Engineer

CompanyHarnham

LocationLondon, England, United Kingdom

Posted At12/9/2025

UK Visa Sponsorship Analytics

Occupation Type

IT business analysts, architects and systems designers

Occupation Code Skill LevelHigher Skilled

Sponsorship Salary Threshold

£54,900 (£28.15 per hour)

Occupation rate applies

Above analytics are generated algorithmically based on job titles and may not always be the same as the company's job classification. You can also check detailed occupation eligibility, and salary criteria on our UK Visa Eligible Occupations & Salary Thresholds page.

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Description

Data Analytics Engineer

Salary: £83,000

Location: London (3 Days in Office)

Shape the future of data-driven decision-making by transforming raw information into trusted, insight-ready assets. Join a team where analytics engineering fuels innovation, intelligence, and impact across the business.

The Opportunity

This is an exciting opportunity to help shape the foundation of a modern, data-enabled organisation. You'll design and build scalable analytics models and pipelines that transform raw data into trusted insights, powering smarter decisions across every level of the business.

Working at the intersection of data engineering and analytics, you'll bring structure, governance, and innovation to complex data ecosystems. The role offers the chance to influence how data drives strategy, automation, and AI adoption. It's a perfect fit for someone who's passionate about clean design, collaboration, and the pursuit of data excellence.

Role and Responsibility

This role focuses on designing and maintaining scalable cloud infrastructure while driving automation and reliability across environments. You'll leverage Terraform for Infrastructure as Code and Kubernetes for container orchestration, ensuring efficient deployments and robust system performance. Working within Azure, you'll integrate advanced analytics platforms like Databricks and build data pipelines using Python and PySpark to support large-scale processing.

The position also involves optimising data models, delivering insights through Power BI, and managing relational data with SQL. Collaboration with engineering and analytics teams will be key to enhancing architecture, security, and reporting capabilities. This is an opportunity to shape infrastructure and data strategy while delivering high-impact solutions in a dynamic environment.

Interview Process

Introductory Chat
Technical and Stakeholder Conversation with Senior Team

Apply now to help shape the future of data-driven decision-making and make your mark in a truly analytics-led environment.