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- Tasks: Develop strategic data products and design scalable data services.
- Company: Global luxury fashion platform with a focus on innovation.
- Benefits: Flexible working environment, family health insurance, and training opportunities.
- Why this job: Join a tech-driven team and make an impact in the luxury fashion industry.
- Qualifications: 5+ years of data engineering experience and strong design skills.
- Other info: Be part of a dynamic B2B environment with growth potential.
The predicted salary is between 43200 - 72000 £ per year.
A global luxury fashion platform is seeking a Data Engineer to join their Data cluster. This role involves developing strategic data products for company competitiveness.
Candidates should have at least 5 years of relevant experience, strong skills in data engineering, and the ability to design scalable data services.
The position offers a flexible working environment, health insurance for families, and various training opportunities.
This role is integral to driving data solutions within a technology-driven B2B context.
Senior Data Engineer: Build Scalable Data Platforms employer: Farfetch
Contact Detail:
Farfetch Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer: Build Scalable Data Platforms
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data engineers. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in data engineering. Practice common interview questions and be ready to discuss how you've built scalable data platforms in the past.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and experience. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace Senior Data Engineer: Build Scalable Data Platforms
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in data engineering. We want to see how your skills align with the role of building scalable data platforms, so don’t hold back on showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our global luxury fashion platform. Let us know what excites you about this opportunity!
Showcase Your Technical Skills: We’re looking for strong data engineering skills, so be sure to mention any relevant technologies or tools you’ve worked with. Highlight your experience in designing scalable data services, as this is key to the role.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Farfetch
✨Know Your Data Engineering Stuff
Make sure you brush up on your data engineering skills before the interview. Be ready to discuss your experience with building scalable data platforms and any specific technologies you've used. They’ll want to see that you can not only talk the talk but also walk the walk.
✨Showcase Your Strategic Thinking
This role is all about developing strategic data products, so be prepared to share examples of how you've contributed to company competitiveness in the past. Think of specific projects where your data solutions made a real impact and be ready to explain your thought process.
✨Understand the B2B Context
Since this position is within a technology-driven B2B environment, it’s crucial to understand the unique challenges and opportunities in this space. Familiarise yourself with how data solutions can drive business outcomes in a B2B context and be ready to discuss relevant experiences.
✨Ask Insightful Questions
Interviews are a two-way street, so prepare some thoughtful questions to ask them. Inquire about their current data challenges, the tools they use, or how they envision the future of their data strategy. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
