Position: Lead Analytics Engineer

Location: Remote (UK only)

Salary: £80,000 - £90,000 per annum plus equity

Employment Type: Permanent, Full-Time

Work Authorisation: Candidates must reside in the UK and have existing work eligibility. Sponsorship is not available.

About Us

We're a fast-growing, product-focused e-commerce business investing heavily in data to power smarter decisions across the company. With data becoming a core enabler for everything from product development to marketing performance, we're looking for a Lead Analytics Engineer to take the reins of our modern data platform and lead the next phase of our analytics maturity.

Role Overview

This is a senior, strategic role for someone who enjoys balancing technical execution with team leadership. You'll be responsible for shaping our data architecture, managing a small but growing team of analytics engineers, and working closely with stakeholders across the business to ensure data is accurate, actionable, and accessible at scale.

Key Responsibilities

Data Platform Strategy: Define and maintain the long-term roadmap for our analytics engineering infrastructure, CI/CD pipelines, and tooling standards.

Pipeline Development: Architect and maintain high-performance data pipelines using dbt and Snowflake, optimised for scale, cost, and usability.

Team Leadership: Manage and mentor a team of analytics engineers. Conduct code reviews, set technical objectives, and promote engineering best practices.

Stakeholder Collaboration: Work closely with teams across Product, Marketing, and Analytics to prioritise and deliver on key data initiatives.

BI & Data Accessibility: Drive the adoption and governance of ThoughtSpot (and other BI tools), ensuring users can confidently self-serve data.

Data Governance: Own systems for monitoring, testing, and validation to maintain trust in the data and catch issues early.

Cloud Infrastructure: Leverage AWS services (S3, Glue, Lambda, etc.) and Python scripting to orchestrate and automate data workflows.

Innovation & Improvement: Continually explore and implement tools and processes that improve scalability, developer productivity, and data usability.

What You Bring

Relevant Experience: 4+ years in analytics or data engineering, ideally with exposure to e-commerce or digital product environments.

Technical Expertise: Deep hands-on experience with Snowflake and dbt. Strong SQL skills and experience optimising complex transformations.

Programming Proficiency: Comfortable with Python for automation, integration, and data orchestration.

Cloud Savvy: Solid understanding of modern cloud data infrastructure, especially within AWS.

Team Leadership: Experience mentoring and managing engineers in a fast-paced environment.

Communication Skills: Able to clearly communicate with both technical and non-technical stakeholders.

BI Familiarity: Comfortable working with tools like ThoughtSpot, Looker, or Tableau and supporting a self-service analytics culture.

Process : You value strong documentation, scalable solutions, and consistent engineering standards.

What We Offer

A fully remote position within the UK with flexible hours

The opportunity to lead and shape the data function of a growing, data-driven company

A salary of £80,000-£90,000 depending on experience

Supportive, fast-paced team environment with plenty of room for growth

Apply Now

If you're an experienced analytics engineer ready to take ownership of a modern data platform-and you're UK-based with full work eligibility-we'd love to hear from you