Data Software Engineer

at  Farfetch

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.

EQUAL OPPORTUNITIES STATEMENT

• FARFETCH is an equal opportunities employer ensuring that all applicants are treated equally and fairly throughout our recruitment process. We are determined that no applicant experiences discrimination on the basis of sex, race, ethnicity, religion or belief, disability, age, gender identity, ancestry, sexual orientation, veteran status, marriage and civil partnership, pregnancy and maternity, or any other basis prohibited by applicable law. We continue to build our consciously inclusive culture as part of our Positively FARFETCH strategy throughout our business, partnerships and communities.
  Before Applying
  Through your application, we want to understand the skills and experiences you have that make you the perfect fit for this role and for FARFETCH. We’re passionate about creating the conditions for Farfetchers to grow and develop but we’re also looking for people who can hit the ground running, so make sure to apply for a position where you feel you can thrive

THE ROLE

Data Teams at FARFETCH are committed to turning the company into a leading e-commerce platform. As such, they are constantly looking for brilliant people who like the challenges that a fast growing, data driven company faces in its path to become a market leader. You will be integrated in the Data Engineering team, being responsible for helping maintain and develop the custom tools needed to build the demanding data pipelines Farfetch needs.

WHAT YOU’LL DO

• Design scalable, end-to-end data pipelines to consume and integrate large volumes of complex data from multiple sources.
• Maintain and develop the tools needed for a self-serving data architecture approach.
• Provide Data Engineering expertise to multiple teams across our organisation.
• Research and implement new data technologies.
• Work with the team to set and maintain standards and development practices.