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- Tasks: Design and develop strategic data products to enhance company competitiveness.
- Company: Join Luxclusif, a tech-driven leader in the luxury resale market.
- Benefits: Enjoy health insurance, flexible work, extra days off, and training opportunities.
- Why this job: Be part of a global team and make an impact in the luxury fashion industry.
- Qualifications: 5+ years in data engineering with strong skills in ETL and cloud environments.
- Other info: Dynamic office near Porto with a vibrant tech community.
The predicted salary is between 36000 - 60000 £ per year.
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, Luxclusif 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, Luxclusif ensures 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 R&D 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.
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 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 are 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.
- Work 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 specialised 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 are capable to design, model and develop big-data ETLs and orchestration is not a problem for you and you are 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, 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 and free access to Udemy.
- Flexible benefits program.
Equal Opportunities Statement:
FARFETCH is committed to being an inclusive workplace where diversity in all its forms is celebrated. We make employment decisions without regard to race, religious creed, color, age, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, marital status, medical condition as defined by state law, physical or mental disability, military service or veteran status, pregnancy, childbirth and related medical conditions, genetic information or any other classification protected by applicable federal, state or local laws or ordinances. If you require special accommodation, please let us know.
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.
Senior Data Engineer employer: Farfetch
Contact Detail:
Farfetch Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Luxclusif or similar companies. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your data engineering prowess. When you get that interview, having something tangible to discuss can really set you apart from the crowd.
✨Tip Number 3
Be ready to dive deep into tech discussions. Brush up on your knowledge of big-data ETLs and cloud environments. The more you can speak their language, the better your chances of landing that role.
✨Tip Number 4
Don't forget to apply through our website! It's the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in being part of the Luxclusif team.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with data engineering environments and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about tech products and how you can contribute to our team. Be sure to mention your collaborative spirit and eagerness to grow, as these are key traits we value.
Showcase Your Technical Skills: Don’t forget to highlight your technical skills, especially in big-data ETLs and cloud environments. We love seeing candidates who are proactive about AI tools and solutions, so if you have experience in that area, make it known!
Apply Through Our Website: We encourage you to apply through our official careers website. It’s the best way to ensure your application gets to us directly. Plus, it shows you’re serious about joining our team at Luxclusif!
How to prepare for a job interview at Farfetch
✨Know Your Data Engineering Stuff
Make sure you brush up on your data engineering fundamentals. Be ready to discuss your experience with building and architecting production-level data products, as well as your familiarity with big-data ETLs and orchestration. They’ll want to see that you can handle complex challenges, so prepare some examples from your past work.
✨Show Off Your Collaboration Skills
Since this role involves working closely with Data Analysts and Software Engineering teams, be prepared to talk about how you’ve successfully collaborated in the past. Share specific instances where teamwork led to impactful results, and highlight your ability to communicate effectively across different technical backgrounds.
✨Get Familiar with Their Tech Stack
Do a bit of homework on the technologies Luxclusif uses. If they mention state-of-the-art technologies in their job description, make sure you know what those are and how you’ve used similar tools in your previous roles. This shows that you’re not just a fit for the role but also genuinely interested in their tech environment.
✨Be Ready to Discuss AI Tools
With a proactive mindset regarding AI tools being a key requirement, think about how you’ve leveraged AI solutions in your previous projects. Prepare to discuss any high-impact AI tools you’ve used and how they improved productivity or decision-making in your work. This will demonstrate your forward-thinking approach and adaptability.
