Level

ASOS

Associate Data Engineer

ASOS is hiring an Associate Data Engineer in London, United Kingdom. Level rates it ; you can apply on Level.

AI in this role

Design and deliver scalable data solutions and pipelines using the Microsoft Azure Data Platform in an agile team.

databricksmicrosoft-azureazure-data-platformci-cd
data-engineeringpythonsqldata-modellingagile

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 to apply them where they add business value

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

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

How we rate this

Associate Data Engineer at ASOS rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Data EngineeringPythonSQLData ModellingAgileDatabricksMicrosoft AzureAzure Data Platform

Questions you could be asked

  1. Tell me about a project where data engineering was part of your work. What did you do?
  2. Tell me about a project where python was part of your work. What did you do?
  3. Tell me about a project where sql was part of your work. What did you do?
  4. Tell me about a project where data modelling was part of your work. What did you do?
  5. Tell me about a project where agile was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Data Engineering, Python, SQL, Data Modelling, and Agile. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.

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