Analytics Engineering Manager

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.

What you’ll doLead & Mentor

Manage and develop a team of Analytics Engineers, helping establish best practices around modelling, testing, documentation, and delivery standards.

Own the Semantic Layer

Shape and maintain trusted business definitions and scalable dbt models powering reporting, experimentation, and operational analytics.

Build Self-Serve Analytics

Enable teams across Product, Growth, Finance, and Operations to confidently access and use high-quality data without heavy reliance on central teams.

Drive Platform Evolution

Partner closely with Data Engineering to improve platform scalability, governance, observability, and performance across a GCP-native stack.

Hands-On Delivery

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.

Partner with the Business

Translate complex commercial and product requirements into scalable, maintainable analytics solutions.

Support Product & Commercial Strategy

Deliver reliable datasets and metrics that support growth initiatives, experimentation, customer insight, forecasting, and operational decision-making.

What you’ll bring

• Previous experience leading or mentoring Analytics Engineers, Analytics Developers, or similar modern data teams.
• Strong hands-on experience with:
• BigQuery
• dbt
• SQL
• Looker
• GCP-native analytics environments

Strong understanding of:

• Data modelling
• ELT workflows
• Metric governance
• Data quality/testing frameworks
• Self-serve analytics principles
• Experience partnering with Product, Commercial, or Operational stakeholders in fast-moving environments.
• Comfortable balancing strategic leadership with hands-on technical contribution.
• Experience working in modern cloud-first data environments with strong engineering standards and CI/CD practices.

Benefits

• Private healthcare
• Equity package
• Remote-first flexibility with ad hoc London travel
• Learning & development budget
• Wellness allowance
• Flexible working arrangements

Please click apply if this role feels like a strong fit.