Infused Solutions Ltd
A fast-growing e-commerce business is seeking a Lead Analytics Engineer to oversee their data platform and drive analytics maturity. This permanent, full-time role offers a salary of £80,000 to £90,000 per annum, plus equity, and is open exclusively to candidates residing in the UK with existing work eligibility. The successful applicant will manage a small team, shape data architecture, and collaborate with various stakeholders to ensure data accuracy and accessibility. Key responsibilities include developing data pipelines, promoting best practices, and leveraging AWS services. Candidates should have over four years of relevant experience and strong technical skills.
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 Orientation: 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
Remote working/work at home options are available for this role.
Source ⇲
joblookup.com