[Hiring] Senior Data Engineer @ASOS

Role Description

Shape the future of fashion through data. At ASOS, data isn’t just numbers, it’s the heartbeat of our business. With millions of customers worldwide and billions of interactions every year, we’re building one of the most advanced data platforms in eCommerce.

This is your chance to work at the intersection of fashion and technology, designing solutions that power personalised experiences, optimise global operations, and unlock insights at scale. You’ll be part of a team that’s transforming how ASOS uses data to innovate faster, predict trends, and deliver the ultimate shopping experience.

• Designing and developing large-scale, high-performance data pipelines for batch and real-time processing.
• Leveraging Azure services (Data Factory, Event Hubs, Service Bus) and Databricks to orchestrate complex workflows.
• Building robust ingestion and transformation frameworks using Spark/PySpark and Python, ensuring data quality and reliability.
• Implementing CI/CD pipelines for automated deployment and testing with tools like Azure DevOps and GitHub Actions.
• Collaborating in an agile, cross-functional team, working closely with data scientists, engineers, and product stakeholders.
• Driving best practices in data architecture, security, and infrastructure-as-code (Terraform/Bicep).

Qualifications

• Proven experience as a Data Engineer in cloud-native environments.
• Strong programming skills in Python (and ideally Scala) plus solid SQL knowledge.
• Hands-on expertise with Azure Databricks, Azure Data Factory, and Spark.
• Understanding of data modelling, ETL/ELT patterns, and distributed computing.
• Experience with CI/CD workflows, version control (Git), and testing frameworks (pytest, ScalaTest).
• Knowledge of open table formats (Delta, Iceberg, Apache Hudi).
• Familiarity with Infrastructure as Code tools (Terraform or Bicep).
• Proven implementation experience in data governance principles, including data catalogs, lineage, security, and data quality management.
• Experience or familiarity with Agentic AI concepts or agent-based AI solutions is considered an advantage.

Benefits

• Employee discount (hello ASOS discount!)
• Employee sample sales
• 25 days paid annual leave + an extra celebration day for a special moment
• Discretionary bonus scheme
• Private medical care scheme
• Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits
• Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role