Data Engineer

Farfetch is hiring a Data Engineer for a remote role open to applicants in Portugal. Level rates it ; you can apply on Level.

AI in this role

Design and develop strategic data products and pipelines to enable company competitiveness and analytical insights.

data-engineeringpythonsqletl

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.

How we rate this

Data Engineer at Farfetch rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

Data Engineer is an open job at Farfetch.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in Porto and is marked remote.
The job was posted on October 15, 2026.
Seniority: mid.
Applications are handled by Farfetch. Apply on Farfetch

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data EngineeringPythonSQLETL

Also common in data engineer jobs at this level

SQL Python AWS Spark Airflow Azure

Pay

Typical data engineer job: $150k

This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs

Questions you could be asked

Tell me about a project where data engineering was part of your work. What did you do?
Tell me about a project where python was part of your work. What did you do?
Tell me about a project where sql was part of your work. What did you do?
Tell me about a project where etl was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Data Engineering, Python, SQL, and ETL. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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