Join ASOS as an Associate Data Engineer based in London, United Kingdom. In this permanent role, you will design and deliver scalable data solutions using the Microsoft Azure Data Platform, collaborate in an agile environment, and build reliable, automated data systems.
Requirements
Experience delivering data solutions end to end.
Experience working with cloud-based data platforms.
Knowledge of Azure data technologies, Python, Azure Databricks or Apache Spark, and CI/CD workflows.
No specific degree or minimum years of experience are strictly mandated in the posting.
Skills & Responsibilities
Azure data technologies: Design and deliver data solutions using tools such as Azure Cosmos DB, Azure SQL Database, and Azure Data Factory.
Python: Build robust data pipelines and applications using object-oriented programming languages.
Azure Databricks and Spark: Process large-scale data and explore new tools through proof-of-concept work.
CI/CD workflows: Develop automated build, test, and deployment pipelines to ensure reliable and maintainable solutions.
Potential transition routes: People from Junior Software Developer, Business Intelligence Analyst, or Data Analyst roles may bring programming, SQL, and analytical skills, alongside meeting foundational cloud and problem-solving requirements.
Job description
Company Description
We're ASOS. We blend our flair for fashion with our love of cutting- edge technology, but more importantly were interested in how we can bring the best out of you.
We exist to give people the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you're free to be your true self without judgment, and channel your creativity into a platform used by millions.
Job Description
ASOS Technology is going through an exciting period of investment and evolution, with several strategic programmes designed to support our continued global growth.
Within ASOS Technology, the Digital Data Engineering team builds high‑quality, scalable data solutions across the ASOS Digital domain. The team works with modern data platforms and engineering practices, supports product teams with data‑driven insights, and helps shape standards that balance speed, quality, and long‑term sustainability.
As a Data Engineer, you’ll contribute to a range of data projects, working closely with engineers, analysts, and architects. You’ll help teams make the most of their data while continuing to grow your own skills through collaboration, learning, and shared problem‑solving.
What you'll be doing:
Designing and delivering data solutions using the Microsoft Azure Data Platform
Collaborating with other engineers through pairing, code reviews, and shared problem‑solving
Supporting teams in understanding data, telemetry, and operational issues
Exploring new tools or approaches through proof‑of‑concept work, including performance, data modelling, and cost considerations
Working with Lead Data Engineers, Engineering Managers, and Solution Architects to develop and improve engineering standards and practices
Building solutions that are reliable, well‑tested, maintainable, and automated through modern CI/CD tooling
Contributing to an agile, cross‑functional team and taking shared ownership of delivery quality
Staying curious about emerging data technologies and identifying opportunities to apply them where they add business value
Qualifications
What you’ll need
We’re keen to hear from Data Engineers who enjoy working with data, value good engineering practices, and are motivated by learning and collaboration.
You don’t need to meet every requirement below to apply. If this role sounds interesting and aligns with your experience or aspirations, we’d love to hear from you.
Experience delivering data solutions end to end
Good problem‑solving and analytical skills
Clear and thoughtful communication skills
A collaborative, supportive working style
Experience working with cloud‑based data platforms
An understanding of how to build reliable, well‑tested data systems
Technical expertise
Azure data technologies (e.g. Azure Cosmos DB, Azure SQL Database, Azure Data Factory)
Python or another object‑oriented programming language
Azure Databricks and/or Apache Spark
Reporting or visualisation tools such as Power BI, MicroStrategy, or similar platforms
CI/CD workflows, including automated build, test, and deployment pipelines
Version control systems such as Git
Exposure to Agile delivery frameworks (e.g. Scrum or Kanban)
Awareness of both cloud and on‑premises infrastructure considerations
Additional Information
What's in it for you?
Employee discount (hello ASOS discount!)
Employee sample sales
25 days paid annual leave + an extra celebration day for a special moment
Private medical care scheme
Fixed Annual Payment in addition to your salary each year, it's just an extra thank you from us
Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role