Data Analytics Engineer

Global platform for luxury fashion, connecting creators, curators and consumers.
Porto, Portugal
Data
Mid-Level Software Engineer
Hybrid
Enterprise SaaS · E-Commerce

Description For Data Analytics Engineer

Farfetch, a global platform for luxury fashion, is seeking a Data Analytics Engineer to join their Data Analytics & Experimentation team in Porto or Lisbon. This role is crucial in evolving their award-winning in-house experimentation platform, with a focus on advancing their custom statistical engine.

The position offers a unique opportunity to work on a cutting-edge platform that drives critical insights for one of the world's largest luxury fashion platforms. You'll be part of a dynamic environment that values innovation and technical excellence, working with cross-functional teams to optimize experimentation and data infrastructure.

As a Data Analytics Engineer, you'll be responsible for enhancing the experimentation platform, implementing statistical processing capabilities, designing data pipelines, and developing self-service analytics tools. The role requires strong technical skills in Python and SQL, combined with a deep understanding of statistical concepts and data modeling.

Farfetch offers a collaborative and inclusive work environment, where differences are embraced and individuality is empowered. The company's Porto office is located in Portugal's vibrant second city, known for its history and creative yet cosy environment. This hybrid role provides flexibility while allowing you to be part of a team that's revolutionizing the luxury fashion ecosystem through technology.

The ideal candidate will bring strong technical capabilities in data engineering and analytics, combined with excellent communication skills to work effectively with both technical and non-technical stakeholders. You'll be instrumental in ensuring the robustness, scalability, and flexibility of Farfetch's data infrastructure to meet the analytical needs of teams globally.

Last updated a month ago

Responsibilities For Data Analytics Engineer

  • Enhance in-house experimentation platform and custom statistical engine
  • Process large-scale statistical tests including A/B and multivariate tests
  • Design and implement efficient data pipelines and ETL processes
  • Develop self-service analytics capabilities
  • Implement testing frameworks for experimentation results
  • Create documentation and provide training sessions

Requirements For Data Analytics Engineer

Python
  • Strong Python programming skills with experience in data engineering libraries
  • Proficient in SQL and experienced in data pipeline frameworks
  • Understanding of statistical concepts relevant to experimentation
  • Experience in developing and maintaining robust data models
  • Strong interpersonal and communication skills

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