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Luxclusif, a technology-driven B2B platform founded in 2013 and now part of Farfetch, is redefining the luxury resale market by offering premium pre-owned fashion to a global audience. The company operates globally with strategic warehouses and a distributed tech team across Portugal, Brazil, and the Philippines.
You will join the Data cluster as a Data Engineer, responsible for developing strategic data products that enable company competitiveness and deliver analytical insights. Working closely with the R&D Products line, you'll collaborate with Data Analysts and Software Engineering teams to design, build, and maintain high-impact data services that power the business across buying, inbound logistics, selling, and post-sales support.
Key responsibilities include:
- Collaboratively design, build, and maintain services within the data platform
- Work with Data Analysts and Software Engineering teams on complex, impactful challenges
- Design, build, and expand data products using state-of-the-art technologies
- Design and develop scalable, performance-oriented services with strong emphasis on algorithmic design
- Build reliable, sustainable data pipelines with critical thinking and problem-solving
- Evaluate and implement AI tools and solutions with high business impact
The Porto office is located in a vibrant business hub in northern Portugal, offering a dynamic environment to connect with a large community of tech professionals.
REQUIREMENTS:
- Bachelor's degree in Computer Science, Information Systems, or equivalent specialized training/certification
- Minimum 5 years of experience in data engineering or similar roles with proven experience building and architecting production-level data products
- Expertise in designing, modeling, and developing big-data ETLs and orchestration
- Strong English communication skills
- Critical thinking and problem-solving capabilities for designing and maintaining reliable data pipelines
- Proactive mindset regarding AI tools and solutions
- Experience with CI/CD tools and cloud environments
