Analytics Engineer

Analytics Engineer

UK, Fully Remote, £65,000 to £70,000

This is an opportunity to join a fast-growing digital marketplace at a pivotal stage in its data journey. The business is investing heavily in its data platform and is looking for an Analytics Engineer to take ownership of a modern stack, bridge technical and commercial needs, and play a key role in shaping how data is used across the organisation.

The Company

They are a VC-backed technology business operating a two-sided online marketplace within the education sector. With strong growth and an expanding customer base, data has become central to improving acquisition, understanding user journeys, and delivering clearer commercial insight. The data function is still maturing, offering a rare chance to influence foundations, standards, and ways of working from an early stage.

The Role

You will be the first key Data Analytics Engineer hired in a new phase of the data team, taking ownership of an existing cloud-based data platform following a consultant handover. Working closely with analytics and senior stakeholders, you will help turn fragmented data into reliable, actionable insight.

Responsibilities include:

• Owning and developing the data platform on GCP, ensuring reliability and scalability
• Building and maintaining robust ingestion pipelines using modern ELT tools
• Designing and maintaining high-quality data models to support analytics and self-serve BI
• Partnering with BI and commercial teams to translate business needs into technical solutions
• Supporting data governance, testing, and documentation across the warehouse
• Contributing to ongoing platform improvements, including automation and AI-enabled tooling

Your Skills & Experience

• Strong data and analytics engineering fundamentals within a modern cloud data stack
• Proven experience with GCP, BigQuery, dbt, and ELT tools such as Fivetran or similar
• Solid data modelling capability for analytics and reporting use cases
• Hands-on experience with infrastructure as code, particularly Terraform
• Comfortable working in scaling environments with evolving data maturity
• Able to communicate clearly with both technical and non-technical stakeholders
• An interest in automation, AI, or improving engineering workflows is beneficial

What They Offer

• High autonomy and the chance to shape a growing data platform
• Clear scope for progression as the data function expands
• Support from an established DevOps and engineering team

How to Apply

If you are an Analytics Engineer looking to own a modern data stack and make a tangible impact in a growing tech business, apply now to learn more.