Who we are
Farfetch is unlike anything in the world of fashion and technology.
Our mission: to revolutionize the way the world shops.
To do it, we need innovators. People who challenge convention and dare to dream.
We’ve gone from a start-up to a billion dollar business. But we’re not done yet. Far from it.
Together, we can be extraordinary
We have rapidly grown into a truly global company since our launch in 2008 and we’re continuing to grow. Our family now includes partner boutiques and brands across Europe, North and South America and Asia; we demonstrate our ‘Think Global’ value in everything we do.
We are a global team of over 1,500 people and have offices based in London, New York, L.A., Porto, Guimaraes, Lisbon, Sao Paulo, Shanghai, Moscow, Hong Kong & Tokyo.
We are a company with an entrepreneurial spirit and innovative culture. We are positive, passionate and live our values: Be Human, Be Brilliant, Todos Juntos, Be Revolutionary, Think Global and Amaze Customers day to day.
Farfetch’s Data Teams are focused on everything related to data. Their main purpose is to harness the power of Farfetch’s data to deliver insights and reports that support business decisions and also analyze and discover new ways to amaze our customers. These teams cover multiple areas related to data, such as Business Intelligence, Software and Data Engineering, Data Science and Data Analytics.
Just as the rest of Farfetch, Data Teams are committed into turning the company into a leading e-commerce platform. As so, 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 improve the BI architecture and tools.
What you’ll do
Design and build scalable & reliable data pipelines (ETLs) for our data platform
Constantly evolve data models & schema design of our Data Warehouse to support self-service needs
Work cross functionally with various teams, creating solutions that deal with large volumes of data.
Work with the team to set and maintain standards and development practices;
Be a keen advocate of quality and continuous improvement;
Who you are
You have 5+ years of experience in building and maintaining data pipelines in a custom or commercial ETL tool (SSIS, Talend, Informatica, ...)
You have 5+ years in a Data Warehouse environment with varied forms of data infrastructure, including relational databases, Hadoop, and Column Store;
Expert in SQL
Proeficient in creating and evolving dimensional data models & schema designs to improve accessibility of data and provide intuitive analytics
You have basic knowledge of Hadoop/BigData ecosystem ( HDFS, Hive, .... )
You are familiar with in continuous delivery principles: version control, unit and automated tests.
You have skills in one of the following programming languages: C#, Java, Python
You have 2+ years working with a BI reporting tool (Tableau, QlikView, PowerBI, Looker, ..)
You are Fluent in English, both written and spoken;
You have good analytical and problem solving skills, the ability to work in a fast moving operational environment and you are enthusiastic and with a positive attitude;
We can’t wait to receive your application. But before you send it to us, here are some helpful tips to make sure your application is as strong as it can be.
Have you set out why this role is a good match for your career aspirations and that you have the skills and experience required? We want you to be as clear about your future ambitions as we are and whilst we encourage people to learn, develop and grow, you will need to hit the ground running.
Have you checked spelling and grammar? We have high standards and you don’t want to miss out because of something as easily correctable as a typo.
We are committed to equality of opportunity for all employees. Applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil