IT & Software

Associate Data Engineer

ASOS

London · Greater London · United Kingdom

Overview

As a Data Engineer at ASOS, you will design and deliver scalable data solutions on the Microsoft Azure Data Platform to empower product teams with data-driven insights. You will work with a cross‑functional squad to implement reliable, well‑tested data systems and evolve engineering standards. The role combines hands‑on cloud data work with collaboration, code reviews, and proof‑of‑concept explorations to balance speed, quality, and long‑term sustainability. This is a chance to influence how data unlocks business value across a global, innovation‑driven fashion platform.

Pay / Benefits
  • employee discount
  • employee sample sales
  • 25 days paid annual leave + extra day
  • private medical care scheme
  • Fixed Annual Payment
  • personalised learning opportunities
Responsibilities
  • Design and deliver data solutions on the Microsoft Azure Data Platform
  • Collaborate with engineers through pairing, code reviews, and shared problem solving
  • Support teams in understanding data, telemetry, and operational issues
  • Experiment with new tools and approaches via PoCs focusing on performance, data modeling, and cost
  • Work with Lead Data Engineers, Engineering Managers, and Solution Architects to improve engineering standards
  • Build reliable, well-tested, automated data solutions using modern CI/CD tooling
  • Contribute to an agile, cross-functional team and take ownership of delivery quality
  • Stay curious about emerging data technologies and identify value‑adding applications
Key requirements
  • Experience delivering data solutions end to end
  • Good problem-solving and analytical skills
  • Clear and thoughtful communication skills
  • Collaborative, supportive working style
  • Experience with cloud-based data platforms
  • Ability to build reliable, well-tested data systems
  • collaboration
  • communication
  • problem-solving
  • Azure data technologies (e.g. Azure Cosmos DB, Azure SQL Database, Azure Data Factory)
  • Python or another object‑oriented language
  • Azure Databricks and/or Apache Spark

Reference: WJ-747_31001811

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