.FARFETCH exists for the love of fashion.
Our mission is to be the global platform for luxury fashion, connecting creators, curators and consumers.We're a positive platform for good, bringing together an incredible creative community made up by our people, our partners and our customers.
This community is at the heart of our business success.
We welcome differences, empower individuality and celebrate diverse skills and perspectives, creating an inclusive environment for everyone.
We are FARFETCH for All.TECHNOLOGYWe're on a mission to build the technology that powers the global platform for luxury fashion.
We operate a modular end-to-end technology platform purpose-built to connect the luxury fashion ecosystem worldwide, addressing complex challenges and enjoying it.
We're empowered to break traditions and revolutionise, with the freedom and autonomy to make a difference for our customers all over the world.PORTOOur Porto office is located in Portugal's vibrant second city, known for its history and its creative yet cosy environment.
From Account Management to Technology and Product, whatever your skills are, you'll find your fit here.THE ROLEWe seek an experienced and innovative Analytics Engineer to join our Data Analytics & Experimentation team at Farfetch.
This role will focus on the evolution of our award-winning in-house experimentation platform, with a special emphasis on advancing our custom statistical engine that processes test results and enables self-service, automated analytics for teams across the company.
This is a unique opportunity to contribute to a cutting-edge platform that drives critical insights for one of the world's largest luxury fashion platforms.
As a Data Analytics Engineer, you will collaborate with data analysts, data engineers, and product managers to optimise our experimentation and Data infrastructure, ensuring robustness, scalability, and flexibility to meet the analytical needs of Farfetch teams globally.WHAT YOU'LL DOExperimentation Platform Development: Work closely with cross-functional teams to continuously enhance our in-house experimentation platform, including building and refining features within our custom statistical engine.Statistical Processing: Support and enhance the platform's ability to process large-scale statistical tests, including A/B and multivariate tests, with a focus on delivering accurate, actionable insights across teams.Data Engineering: Design and implement efficient, scalable data pipelines and ETL processes for experimentation data, ensuring reliable data flow from ingestion through to final analysis.Self-Service Analytics: Develop self-service capabilities, enabling non-technical users to perform automated deep dives and access critical insights independently.Quality and Testing: Implement robust testing frameworks to ensure the accuracy and reliability of experimentation results, and automate quality checks for all analytical outputs