Data Engineer

Luxclusif is a technology-driven global B2B platform founded in 2013 and part of Farfetch since 2021. Dedicated to redefining the luxury paradigm by offering premium pre-owned fashion to a global audience, Luxclusive has pioneered the global luxury resale market, with advanced data-driven solutions to facilitate the buying and selling of high-end pre-owned items. With operations spread across the globe and strategic warehouses in key locations, ensure a seamless supply of luxury goods, ensuring item curation, quality control, operations, logistics to technology integrations and sales, delivering an unmatched resale experience for brands, retailers, and end-customers.

THE TEAM

Our Tech Team is responsible for designing, developing, and evolving the internal products that power our business. As a B2B company specialising in second-hand luxury items, we rely on technology to optimise every stage of our operations, from buying and inbound logistics to selling and post-sales support. We are a global team with members across Portugal, Brazil, and the Philippines.

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

The Data Engineer will be part of our Data cluster, responsible for the development of strategic data products to enable company competitiveness and analytical insights collaborating closer with R&D Products line. We're looking for a team player that is passionate about tech products and is looking for eager opportunities to grow.

What You’ll Do

• Collaboratively design, build, and maintain services within our platform.
• Working closely with our Data Analysts and Software Engineering teams in highly impactful and complex challenges. Design, Build and Expand our data products, taking them to the next level while using state-of-the-art technologies.
• Collaborate with our Data Analysts and Software Engineering teams to deliver efficient data products.
• Design and develop scalable and performance oriented services with a strong emphasis on algorithmic design and scalability.

Who You Are

• You have a Computer Science, Information Systems degree or equivalent specialized training/certification.
• You have at least 5 years of experience in the role or similar and proven experience with data engineering environments, building and architecture production-level data products.
• You’re capable to design, model and develop big-data ETLs and orchestration is not a problem for you and you’re also comfortable speaking English.
• Critical thinking and problem solving to design, build and maintain reliable and sustainable data pipelines.
• Proactive mindset regarding AI tools and solutions with high impact for the business and productivity.
• Experience with CI/CD tools and cloud environments.

Rewards & Benefits

• Health insurance for the whole family and other well-being resources
• 25 Days of Annual Leave (above the statutory) and additional Caring Days (2 days per year)
• Boomerang: sabbatical program after 5 years service
• Training opportunities and free access to LinkedIn Learning
• Flexible benefits program
• Flexible working environment

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.