Analytics Engineer

THE BRAND This is one of the most exciting and purpose-driven accessible luxury brands in the world — female-founded, sustainability-led and commercially on fire across physical retail, eCommerce and global partnerships. Recognised as Responsible Business of the Year and consistently celebrated for its commitment to ethical craftsmanship and positive impact, this is a brand that genuinely stands for something beyond the product. With a loyal and growing global community at its heart and serious momentum across all channels, this is a business where the data team sits right at the centre of commercial decision-making — not on the periphery.

For the right person, this is a rare opportunity to do meaningful, high-impact work inside a brand that the whole world has heard of and that people are genuinely proud to be part of. THE ROLE This is a broad, end-to-end Analytics Engineer position sitting at the heart of the data value chain — bridging the gap between infrastructure and analytics delivery for a fast-growing global business. You will own the transformation and governance layer that powers dashboards, reporting and advanced analytics across the organisation — building and maintaining dbt models, managing cloud infrastructure on GCP and BigQuery, setting up data ingestion pipelines and championing data quality best practices throughout.

This is not a siloed technical role — you will work closely with senior stakeholders across the business, take full ownership of projects from requirements through to delivery and bring a genuine data product mindset to everything you build. The team actively embraces AI tools in their day-to-day workflow and expects you to share that curiosity — whether that is using Claude or GitHub Copilot to accelerate development, experimenting with conversational data interfaces or thinking about what AI means for the future of analytics. Small team, big ownership, real commercial impact.

THE PERSON You are a technically strong, commercially curious Retail Analytics/Data Engineer who thrives at the intersection of engineering rigour and analytical thinking — someone who builds clean, reliable data models but never loses sight of the business question behind the request. You have a strong command of SQL and hands-on dbt experience, practical knowledge of cloud data platforms — ideally GCP and BigQuery — and familiarity with data ingestion tools including Fivetran, Python and API integrations. You are equally comfortable working with senior stakeholders as you are in the codebase, you take ownership without being asked and you bring genuine curiosity about how AI is changing the way data teams work.

A background in retail, DTC or eCommerce is strongly preferred — and above all you are the kind of person who collaborates openly, communicates with clarity and brings energy and humility to a high-performing team