Data Product Manager

Role Overview

Farfetch is a leading global marketplace for the luxury fashion industry. The Farfetch Marketplace connects customers in over 190 countries and territories with items from more than 50 countries and over 1,400 of the world’s best brands, boutiques, and department stores, delivering a truly unique shopping experience and access to the most extensive selection of luxury on a global marketplace.

PORTO Our office is near Porto, in the north of Portugal, and is located in a vibrant business hub. It offers a dynamic and welcoming environment where our employees can connect and network with a large community of tech professionals.

TECHNOLOGY We're on a mission to build end-to-end products and technology that powers the an incredible e-commerce experience for luxury customers everywhere, understanding the motivations and needs of our customers and partners, to designing and testing hypotheses, to creating industry-leading experiences for luxury customers.

THE ROLE We are looking for a Data Product Manager to support the development of data products that drive business insights and decision-making. In this role, you will work closely with senior PMs, Engineering, Data Science, and Analytics teams to deliver reliable, actionable data solutions. This is an excellent opportunity to grow your skills in data product management while contributing to high-impact initiatives.

Requirements

• Experience as a product manager, analyst, or professional with an interest in data products and analytics.
• Comfortable with SQL, spreadsheets, and basic data analysis, and eager to learn about ETL processes, data modelling, and data pipelines.
• Strong communicator and collaborator, able to work with cross-functional teams and support stakeholders.
• Curious, analytical, and motivated to develop into a full Data Product Manager.
• Organised and detail-oriented, able to manage multiple priorities under guidance.
• Comfortable learning in ambiguous environments and taking ownership of well-defined tasks.
• Ideally with:
• Some experience or coursework in data, analytics, or product management.
• Familiarity with SQL, data analysis, or visualization tools.
• Exposure to data pipelines, ETL, or data modeling concepts is a plus.
• Interest in understanding business impact from data products.
• Strong collaboration and communication skills.

Tech Stack

• ETL
• SQL

Benefits

• Health insurance for the whole family, flexible working environment and well-being support and tools
• Extra days off, sabbatical program and days for you to give back for the community
• Training opportunities and free access to Udemy
• Flexible benefits program