Data Engineer

Contract Type:

FULL-TIME Preamble

Our client is a pre owned luxury fashion tech company, that enables brands and retailers to buy & sell used goods through innovation and technology. We have developed a unique Resale as a Service solution utilized by the world's largest retailers, and are also a global distributor (B2B player) of pre-owned luxury fashion for businesses. We currently have offices and warehouses in Portugal, Estonia, US, China, Japan, and the Philippines.

In December 2021, Our client became part of the FARFETCH Group family of companies, which will help guide evolution and growth in this next chapter of our journey. Our client upholds transparency, excellence, ambition, motivation and teamwork as its core values.

We foster curiosity, by continuously providing our team members with avenues to explore, experiment, innovate and disrupt the current luxury resale model in a nutshell, that is our essence.

Tech resale, circular economy & sustainability all in one.

Responsibilities

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.

Qualifications

WHO YOU ARE

• You have a Computer Science, Information Systems degree or equivalent specialized training/certification.
• You have at least 2-5 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.
• Experience with CI/CD tools and cloud environments are a plus.
• Data warehousing, Data Modelling and Data Architecture experience.
• Python and Star schema approach experience is a must