Data Engineer

About the role

Summary of the employer’s published listing: 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. 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. WHO YOU ARE You have a Computer Science, Information Systems degree or equivalent specialized 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’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. 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 and other well-being resources 25 Days of Annual Leave (above the statutory) and additional Caring Days (2 days per year) Boomerang: sabbatical program after 5 years service Training opportunities and free access to LinkedIn Learning Flexible benefits program Flexible working environment EQUAL OPPORTUNITIES STATEMENT Farfetch is an equal opportunities employer ensuring that all applicants are treated equally and fairly throughout our recruitment process. We are determined that no applicant experiences discrimination on the basis of sex, race, ethnicity, religion or belief, disability, age, gender identity, ancestry, sexual orientation, veteran status, marriage and civil partnership, pregnancy and maternity, or any other basis prohibited by applicable law. 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.

Requirements

• 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’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.
• 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 and other well-being resources
• 25 Days of Annual Leave (above the statutory) and additional Caring Days (2 days per year)
• Boomerang: sabbatical program after 5 years service
• Training opportunities and free access to LinkedIn Learning