Analytics Engineer

Burns Sheehan; Manchester; Remote; GBP 68,000 - 83,000; Full time

Job summary

Burns Sheehan is seeking an Analytics Engineer to join a data-driven digital business that has built a modern Databricks platform. You will transform raw data into trusted datasets, build semantic layers for self-service analytics, and enable AI-powered data querying across teams.

You’ll work on understanding customer behaviour, conversion funnels and marketing efficiency while shaping best practices and data governance in a growing data function.

Qualifications

• Strong SQL and data modelling skills with practical experience using dbt or similar transformation frameworks.
• Experience with Databricks, Delta Lake or modern cloud data platforms.
• A mix of analytical thinking and engineering capability; understand the business questions behind the data.

Responsibilities

• Building and maintaining reliable data models across the silver and gold layers of a modern Databricks platform.
• Transforming raw data into trusted datasets and metrics used across Product, Marketing, Pricing and Finance.
• Developing the semantic layer that enables self-service analytics, Power BI reporting and AI-powered data querying.
• Improving data quality, testing and modelling standards while helping the business become more data-driven.

Skills

Data modelling

Analytical thinking

Engineering mindset

Tools

dbt

Databricks

Delta Lake

Job description

Analytics Engineer | Up to £75,000 | UK Remote with quarterly travel to Cheshire

SQL | dbt | Databricks | Data Modelling | Analytics Engineering

We're working with an established, private equity-backed digital business that's investing heavily in its technology, data and AI capabilities as part of a wider transformation.

Having recently built a modern data platform using Databricks and Medallion architecture, they're now looking for an Analytics Engineer to help turn that foundation into trusted, accessible data that drives decisions across the business.

This is an opportunity to work on meaningful commercial problems, from understanding customer behaviour and conversion funnels to helping optimise marketing spend, pricing and customer lifetime value.

What you'll be doing:

• Building and maintaining reliable data models across the silver and gold layers of a modern Databricks platform.
• Transforming raw data into trusted datasets and metrics used across Product, Marketing, Pricing and Finance.
• Developing the semantic layer that enables self-service analytics, Power BI reporting and AI-powered data querying.
• Improving data quality, testing and modelling standards while helping the business become more data-driven.

What we're looking for:

• Strong SQL and data modelling skills, with practical experience using dbt or similar transformation frameworks.
• Experience with Databricks, Delta Lake or modern cloud data platforms.
• A mix of analytical thinking and engineering capability, someone who understands the business questions behind the data, not just how to build the models.

Experience within e-commerce, fintech, insurance, marketplaces or other product-led digital businesses would be particularly relevant, but industry experience isn't essential.

You’ll joining a small, growing data function where you have real ownership, the opportunity to shape best practices and exposure to emerging AI-driven analytics capabilities.