Senior Data Engineer - Data Science Platform

As a Senior Data Engineer, you'll focus on designing and implementing scalable, reusable data pipelines, platform components, and data engineering standards that enable reliable, secure, and high-quality data solutions across the organisation. You'll work closely with Data Scientists, Analysts, and Engineers embedded in product teams such as Forecasting, Recommendations, Marketing, Customer, and Pricing-helping them accelerate delivery and improve the quality and accessibility of data by providing a robust and standardised data platform experience. What you'll be doing

• Designing, building, and maintaining scalable data pipelines using Python and Scala, leveraging Spark and PySpark within an Azure ecosystem (including Azure Data Factory and Databricks).
• Developing and maintaining reusable data engineering templates, frameworks, and tooling to support data teams across ASOS.
• Driving standardisation and best practices across data ingestion, transformation, and serving layers to ensure consistency across diverse product domains.
• Enabling teams to deliver high-quality, production-ready datasets by providing guidance, patterns, and hands-on technical support.
• Implementing and promoting modern data engineering practices - including CI/CD for data pipelines, data quality validation, testing, observability, and metadata management.
• Collaborating with stakeholders to understand data requirements and evolving the data platform to meet business needs.
• Partnering with Platform Engineering, ML Engineering, and Security teams to ensure scalable, cost-efficient, and secure data infrastructure on Azure.
• Optimising data workflows and pipelines for performance, reliability, and cost efficiency.
We believe being together in person helps us move faster, connect more deeply, and achieve more as a team. That's why our approach to working together includes spending at least 2 days a week in the office. It's a rhythm that speeds up decision-making, helps ASOSers learn from each other more quickly, and builds the kind of culture where people can grow, create, and succeed.


• Strong experience as a Data Engineer building scalable data platforms
• Deep expertise in Azure (ADF, ADLS, Databricks)
• Proficiency in Python and/or Scala (PySpark/Spark) for large-scale data processing
• Hands-on experience with Databricks and Delta Lake
• Solid understanding of the end-to-end data lifecycle (ingestion transformation serving)
• Experience with dbt for transformations and Terraform for infrastructure as code
• Familiarity with CI/CD pipelines and modern data engineering best practices
• Strong grounding in data modelling, quality, and testing
• Experience with monitoring, observability, and performance optimisation
• Focus on automation, standardisation, and improving developer experience
  
  Employee discount (hello ASOS discount!)
• Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role
• Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits
• Private medical care scheme
• Discretionary bonus scheme
• 25 days paid annual leave + an extra celebration day for a special moment
• Employee sample sales