Analytics Engineering Manager (GCP) | London | Remote | Up to £130k DOE + Equity + Benefits KDR have partnered with a fast-growing technology business building a modern data platform at the centre of how the organisation scales product, commercial, and operational decision-making. Following a significant growth phase over the last few years, the business are now investing heavily in the maturity of their analytics engineering capability. They already have strong foundations in place across GCP and BigQuery, but are now looking for someone to help formalise standards, improve self-serve analytics, and shape how trusted business data is delivered across the organisation. As Analytics Engineering Manager, you’ll lead a small but high-impact analytics engineering function while remaining hands-on with modelling, architecture, and platform direction. This role sits between Data Engineering, Product Analytics, and commercial stakeholders, helping ensure data is reliable, scalable, and genuinely useful to the business. Reporting into the Director of Data, you’ll play a key role in defining how data products are structured, governed, and consumed across the company. Manage and develop a team of Analytics Engineers, helping establish best practices around modelling, testing, documentation, and delivery standards. Enable teams across Product, Growth, Finance, and Operations to confidently access and use high-quality data without heavy reliance on central teams. Partner closely with Data Engineering to improve platform scalability, governance, observability, and performance across a GCP-native stack. Contribute directly to SQL/dbt development, model reviews, architecture decisions, and analytics workflows where needed. Improve Data Quality Establish testing, lineage, monitoring, and documentation standards to improve trust and consistency across analytics assets. Translate complex commercial and product requirements into scalable, maintainable analytics solutions. Support Product & Commercial Strategy Previous experience leading or mentoring Analytics Engineers, Analytics Developers, or similar modern data teams. SQL Data modelling Data quality/testing frameworks Experience partnering with Product, Commercial, or Operational stakeholders in fast-moving environments. Experience working in modern cloud-first data environments with strong engineering standards and CI/CD practices. Private healthcare Remote-first flexibility with ad hoc London travel Wellness allowance Flexible working arrangements
