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.
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.
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.
THE ROLE
We're a Data team that implements methods to improve data reliability and quality by combining raw information from different sources and developing architectures that enable data extraction and transformation for data modeling. Our aim is to provide an unrivaled customer experience and promote FARFETCH's growth. You will be integrated with the Data Engineering team, being responsible for helping maintain and improve the Data models 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 experience as a professional with solid technical background building and maintaining data pipelines in a custom or commercial ETL tool (eg. SSIS, Talend, Airflow, Composer)
You have experience working in a Data Warehouse environment with varied forms of data infrastructure, including relational databases, Hadoop, and Column Store, BigQuery
Expert in creating and evolving dimensional data models & schema designs to improve accessibility of data and provide intuitive analytics
Basic experience and knowledge of cloud environments (eg. GCP, Azure)
Expert in SQL
You are proficient in one of the following programming languages: Java, Python
You have 2+ years experience working with a BI reporting tool (eg. Tableau, PowerBI, Looker)
Proficient applier of continuous delivery principles: version control, unit and automated tests
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.
REWARDS & 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
Flexible benefits program
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.
SCAM DISCLAIMER
It has come to our attention that there may be fraudulent activities involving individuals or organizations falsely claiming to represent Farfetch in order to attract candidates to a SCAM. Please be aware that Farfetch does not conduct recruitment processes through messaging apps or any unofficial communication channels, other than our official careers website. Additionally, Farfetch will never ask candidates for any form of payment during the recruitment process.
