Senior Data Engineer - Data Science Platform

Salary: £61,000 - 101,000 per year

Requirements:

• Strong experience as a Data Engineer building scalable data platforms
• Deep expertise in Azure, including ADF, ADLS, and Databricks
• Proficiency in Python and/or Scala, with PySpark and Spark for large-scale data processing
• Hands-on experience with Databricks and Delta Lake
• Solid understanding of the end-to-end data lifecycle, including ingestion, transformation, and 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

Responsibilities:

• Design, build, and maintain scalable data pipelines using Python and Scala within an Azure ecosystem
• Develop and maintain reusable data engineering templates, frameworks, and tooling
• Drive standardisation and best practices across data ingestion, transformation, and serving layers
• Enable teams to deliver high-quality, production-ready datasets through guidance, patterns, and hands-on technical support
• Implement and promote modern data engineering practices, including CI/CD, data quality validation, testing, observability, and metadata management
• Collaborate with stakeholders to understand data requirements and evolve the data platform to meet business needs
• Partner with Platform Engineering, ML Engineering, and Security teams to ensure scalable, cost-efficient, and secure data infrastructure on Azure
• Optimise data workflows and pipelines for performance, reliability, and cost efficiency

Technologies:

• Azure
• CI/CD
• Databricks
• Support
• Marketing
• Python
• PySpark
• Scala
• Security
• Spark
• Terraform
• dbt
• Cloud
• Embedded
• Excel

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 34 week of 2026