ASOS
fashion
DataEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“Data Engineer at ASOS. Skills: Data Engineering, Microsoft Azure Data Platform, Python, Azure Databricks, Apache Spark, CI/CD tooling, Reporting or visualisation tools. Designing and delivering data solutions using the Microsoft Azure Data Platform. Collaborating with other engineers through pairing, code reviews, and shared problem‑solving”
What You'll Achieve.
high‑quality, scalable data solutions; data‑driven insights; balance speed, quality, and long‑term sustainability; delivery quality
Industry & Context.
Good problem‑solving and analytical skills; shared problem‑solving
What They're Looking For.
Must Have
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, 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
Nice to Have
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.
What You'll Do.
Designing and delivering data solutions using the Microsoft Azure Data Platform
Collaborating with other engineers through pairing
and shared problem‑solving
Supporting teams in understanding data
and operational issues
Exploring new tools or approaches through proof‑of‑concept work
including performance
and cost considerations
Working with Lead Data Engineers
and Solution Architects to develop and improve engineering standards and practices
Building solutions that are reliable
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
How You'll Work.
Team & Collaboration
Collaborating with other engineers through pairing, code reviews, and shared problem‑solving; Working with Lead Data Engineers, Engineering Managers, and Solution Architects; Contributing to an agile, cross‑functional team; A collaborative, supportive working style
Communication Scope
Clear and thoughtful communication skills
Process & Methodology
Agile delivery frameworks (e. g. Scrum or Kanban)
Full Job 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. 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
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