<?xml version="1.0" encoding="utf-8"?>
<rss version="2.0">
  <channel>
    <title>Data Engineer - Michael Page RSS Feed</title>
    <link>https://jobs.co.uk/job/data-engineer-michael-page--ebd81125-2d6c-4681-920a-2dde3d1462e8</link>
    <description>RSS feed for Data Engineer at Michael Page.</description>
    <language>en-gb</language>
    <lastBuildDate>Wed, 07 Oct 2026 17:31:31 GMT</lastBuildDate>
    <item>
      <title>Data Engineer - Michael Page</title>
      <link>https://jobs.co.uk/job/data-engineer-michael-page--ebd81125-2d6c-4681-920a-2dde3d1462e8</link>
      <guid>https://jobs.co.uk/job/data-engineer-michael-page--ebd81125-2d6c-4681-920a-2dde3d1462e8</guid>
      <pubDate>Tue, 06 Oct 2026 23:00:00 GMT</pubDate>
      <description>Location: Wythenshawe | Salary: &amp;pound;40000 - &amp;pound;45000/annum pension, annual bonus discounts | Type: Permanent | Reporting in to the Head of IT, the successful Data Engineer will work on building and maintaining data pipelines to support analytics and decision-making processes. This role is all about ensuring data flows smoothly and efficiently, helping the business make informed choices.   Client Details   Founded in 2002 we are a Manchester-based pet food company that develops and markets premium natural cat and dog food, with a particularly strong position in the premium cat food market. Our mission is to "enrich the lives of pets and their owners through visibly better pet food."   We are currently looking to grow our Data Engineering &amp; Analytics team            Description   The successful Data Engineer will be responsible for but not limited to:   Design, build and maintain efficient and reliable data pipelines.  Develop and optimise data systems to ensure seamless integration and accessibility.  Collaborate with analytics teams to understand data needs and provide solutions.  Monitor and troubleshoot data-related issues to maintain system performance.  Work closely with stakeholders to deliver actionable insights from data.    Profile   The successful Data Engineer should have:   Stron...</description>
      <category>Permanent</category>
    </item>
  </channel>
</rss>