Principal Data Engineer
Farfetch
Porto
há 6 dias
source : IT Jobs

About us

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.

The role

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
  • DevOps mindset
  • 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 :

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