Data Engineering Expert for Luxury Fashion Ecosystem

2 semanas atrás


Porto, Porto, Portugal Farfetch Tempo inteiro

FARFETCH is a global platform for luxury fashion, connecting creators, curators, and consumers. As a Data Analytics Engineer, you will contribute to the evolution of our award-winning in-house experimentation platform.

Key Responsibilities:
  • Develop and refine features within our custom statistical engine to enhance experimentation capabilities
  • Support large-scale statistical tests, including A/B and multivariate tests, to deliver accurate insights across teams
  • Design efficient data pipelines and ETL processes for experimentation data, ensuring reliable data flow from ingestion to final analysis

About You:

  • Strong Python programming skills with experience in libraries commonly used in data engineering and statistical analysis (e.g., pandas, NumPy, SciPy)
  • Data engineering expertise with proficiency in SQL and experience in data pipeline frameworks (e.g., Airflow, dbt), ETL processes, and big data technologies (e.g., Spark)
  • Ability to understand statistical concepts relevant to experimentation and implement these concepts programmatically
  • Collaboration and communication skills to work effectively across teams and support both technical and non-technical users

Working at FARFETCH:

  • The Porto office is located in Portugal's vibrant second city, known for its history and creative yet cosy environment
  • A unique opportunity to contribute to a cutting-edge platform that drives critical insights for one of the world's largest luxury fashion platforms

What We Offer:

  • An estimated salary of $120,000 - $150,000 per year, depending on your level of experience
  • A chance to collaborate with talented individuals who share your passion for data analytics and experimentation
  • The freedom to break traditions and revolutionize the industry with innovative solutions

About FARFETCH:

  • We exist for the love of fashion and are committed to being a positive platform for good
  • We welcome differences, empower individuality, and celebrate diverse skills and perspectives


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