Farfetch is the leading global technology platform for the luxury fashion industry. Founded in 2007 by José Neves for the love of fashion, and launched in 2008, Farfetch began as an e-
commerce marketplace for luxury boutiques around the world. Today the Farfetch marketplace connects customers in 190 countries with items from more than 48 countries and over 1,000 of the world's best boutiques and brands, delivering a truly unique shopping experience and access to the most extensive selection of luxury on a single platform.
Through its business units, which also include Store of The Future, Farfetch Black & White Solutions, Browns, and Stadium Goods, Farfetch continues to invest in innovation and develop key technologies, business solutions, and services for the luxury fashion industry.
We are looking for a Principal Engineer to be part of Farfetch’s Engineering Team and a the Principal Engineering guild, being a reference for other members of the engineering team and tackling our most complex engineering challenges.
What you’ll do
Help data engineers solve complex problems in the realm of Data
Be a part of the team that decides the long term technical roadmap for farfetch data platform
Be the technical reference for data engineers when tackling complex problems or deciding on what is the best approach to solve problems centered around data
Have an holistic vision about the technological stack, the development patterns and the set of tools that data engineers use
Work closely with the architecture team, principal guild, infrastructure and security to assure data engineering is working towards the standards we set ourselves as a company;
Engage with other engineering teams to assure the solutions the data engineering team provides are fulfilling their most complex requirements
Engage with other engineering teams to assure the solutions they are providing to data are compliant with the data strategy defined
Coach and up-skill other engineering team members in data engineering topics, acting as a reference for data engineering standard methodologies within Farfetch
Define and document guidelines and best practices to be followed by data engineering.
Who you are
A graduate in Information Systems or a related field
A professional with at least 8 years of demonstrable experience
Experience in the definition of long term strategy for data engineering - tech. stack evolution, product enhancement and arch guidelines.
Experience with ingestion of large amounts of data (streaming or batch)
Knowledgeable of the specific engineering challenges related to distributed systems
Capable of being the Technical Reference and Evangelist for the use of technologies within the data domain
Track data technologies trends
Receive a set of business requirements and map them into tech. requirements
Knowledgeable and experienced in Product / Software development, with deep understanding of all different phases
Experience in agile software development
An excellent communicator in English, with the capability to communicate at multiple levels in the organization
Able to handle multiple tasks / priorities at a time, respond to work with urgency and understand deadlines
Attentive to detail, with an ability to assimilate, sort through and aggregate complex information quickly and effectively
Experienced in working in large scale organizations on a multinational level with a multicultural team is a plus
Experience in data modeling for traditional Data Warehousing and also in creating or adapting data models for NoSQL / Big Data solutions is a plus
Experience in evolving traditional data warehouse systems to Big Data systems capable of providing business intelligence solutions at scale is a plus
Experience with agile development methodologies applied to Data engineering is a plus.
In case you're interested in this opportunity, please apply here :