About this role
Salary: £61,000 - 101,000 per year
Requirements: Strong experience as a Data Engineer building scalable data platformsDeep expertise in Azure, including ADF, ADLS, and DatabricksProficiency in Python and/or Scala, with PySpark and Spark for large-scale data processingHands-on experience with Databricks and Delta LakeSolid understanding of the end-to-end data lifecycle, including ingestion, transformation, and servingExperience with dbt for transformations and Terraform for infrastructure as codeFamiliarity with CI/CD pipelines and modern data engineering best practicesStrong grounding in data modelling, quality, and testingExperience with monitoring, observability, and performance optimisationFocus on automation, standardisation, and improving developer experience Responsibilities: Design, build, and maintain scalable data pipelines using Python and Scala within an Azure ecosystemDevelop and maintain reusable data engineering templates, frameworks, and toolingDrive standardisation and best practices across data ingestion, transformation, and serving layersEnable teams to deliver high-quality, production-ready datasets through guidance, patterns, and hands-on technical supportImplement and promote modern data engineering practices, including CI/CD, data quality validation, testing, observability, and metadata managementCollaborate with stakeholders to understand data requirements and evolve the data platform to meet business needsPartner with Platform Engineering, ML Engineering, and Security teams to ensure scalable, cost-efficient, and secure data infrastructure on AzureOptimise data workflows and pipelines for performance, reliability, and cost efficiency Technologies: AzureCI/CDDatabricksSupportMarketingPythonPySparkScalaSecuritySparkTerraformdbtCloudEmbeddedExcel More:
We are ASOS, the online retailer for fashion lovers around the world. We give our customers the confidence to be whoever they want to be, and we want our people to feel the same freedom to be their true selves without judgement. We are committed to inclusion and have been recognised by Inclusive Companies, Disability Confident Committed, and the Business in the Community Race at Work Charter. We work in a collaborative environment with product teams across Forecasting, Recommendations, Marketing, Customer, and Pricing, and we support flexible growth through learning opportunities and a strong benefits package including employee discount, personalised learning, flexible benefits allowance, private medical care, discretionary bonus, 25 days paid annual leave plus an extra celebration day, and employee sample sales. We work in a hybrid rhythm and spend at least 2 days a week in the office.
last updated 36 week of 2026