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Associate Data Engineer

London, England, United Kingdom

Pay
Salary not listed in the saved posting
Work setup
Unconfirmed
Employment
Unconfirmed
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What you’ll bring

All qualifications

Core experience

  • Experience delivering data solutions end to end
  • Experience working with cloud‑based data platforms
  • Python or another object‑oriented programming language
Qualification wording
Experience delivering data solutions end to end
Experience working with cloud‑based data platforms
Python or another object‑oriented programming language

Tools in this posting

  • SQL
  • Azure
  • Databricks
  • Python
  • Spark
  • Power BI
Source — Tool mentions in context
Technical expertise - Azure data technologies (e.g. Azure Cosmos DB, Azure SQL Database, Azure Data Factory) - Python or another object‑oriented programming language
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
- 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
- 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
- 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

Job description

View original posting ↗

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

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.

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the salary range before committing time to the process.

Complete your application on jobs.smartrecruiters.com. The employer’s form will show what is required.

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Source & posting history

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Pay

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Location & working pattern

London, England, United Kingdom

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Status in our records
Active
First seen by us
Oct 7, 2026
Recorded sightings
6
Last seen by us
Oct 9, 2026

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