Data Engineer

Posted 68ds ago

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Job Description

Data Engineer contributing to a core data platform for luxury brands. Focus on maintaining and optimizing data pipelines using Python and SQL in a fully remote environment.

Responsibilities:

  • Design and development of data processing, data cleansing, data transformation and QA scripts using Python and SQL
  • Operations, maintenance and enhancements of existing mission-critical data pipelines and ETLs
  • Monitoring and regular maintenance of data pipelines, ensuring data reliability and quality standards
  • Enhancements to meet evolving business requirements
  • Optimization of ETLs for performance
  • Migration of legacy data pipelines into more a scalable architecture
  • Typical data engineering responsibilities including SQL database design, maintenance and optimization
  • Fetching datasets from external data sources: REST API, JSON or CSV
  • Performing data migrations and batch data updates
  • Exploratory projects including Analysis of various datasets to support business requirements
  • Developing Proof-of-concept of new data pipelines
  • Working with other data team members to complete common deliverables and provide technical expertise

Requirements:

  • Graduate in Computer Science, Information Systems, Statistics, Mathematics, or related fields
  • At least 2 years relevant experience in data engineering, database or ETL development
  • Excellent skills in Python (pandas, numpy)
  • Excellent skills in SQL and database design/development
  • Experience with ETL development and maintenance
  • Ability to work independently and with team members from different backgrounds
  • Strong result orientation and ownership
  • Proficient in English (writing and speaking)
  • Passionate about new technologies and innovation

Benefits:

  • Highly competitive package, above market rates for the right candidate
  • Remote-friendly role with international team collaboration across Switzerland, the UK and China
  • Direct exposure to senior leadership — no layers of middle management
  • Opportunity to grow with a platform that's scaling across the luxury industry
  • Wellbeing and learning support