(197330) Analytics Engineer

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

• 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

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.