<?xml version="1.0" encoding="utf-8"?>
<rss version="2.0">
  <channel>
    <title>Data Engineer - Overdales - Lowell Group RSS Feed</title>
    <link>https://jobs.co.uk/job/data-engineer-overdales-lowell-group--dd6713be-3559-4454-9d4e-fcda8fcc1b23</link>
    <description>RSS feed for Data Engineer - Overdales at Lowell Group.</description>
    <language>en-gb</language>
    <lastBuildDate>Thu, 22 Oct 2026 23:14:37 GMT</lastBuildDate>
    <item>
      <title>Data Engineer - Overdales - Lowell Group</title>
      <link>https://jobs.co.uk/job/data-engineer-overdales-lowell-group--dd6713be-3559-4454-9d4e-fcda8fcc1b23</link>
      <guid>https://jobs.co.uk/job/data-engineer-overdales-lowell-group--dd6713be-3559-4454-9d4e-fcda8fcc1b23</guid>
      <pubDate>Wed, 21 Oct 2026 23:00:00 GMT</pubDate>
      <description>Location: Leeds | Salary: Negotiable | Type: Permanent | Data Engineer   Location:  Thorpe Park , Leeds, United Kingdom,  Hybrid  working  Unfortunately we are unable to offer sponsorship for this role.   Join us as a Data Engineer!  If you enjoy getting under the hood of data, solving complex problems and finding better ways of doing things, this could be a great opportunity for you. As our  Data Engineer , you''ll help shape and maintain the data infrastructure that supports decision-making across Lowell. You''ll work hands-on with SQL, SSIS, ETL processes and large datasets, ensuring our data warehouse is accurate, efficient and scalable. You''ll also have the freedom to identify opportunities to automate processes, improve performance and introduce new solutions, working closely with stakeholders to turn complex data into clear, useful insights.   What we are looking for:    Intermediate or above experience with  SQL, Python  and Power Shell would be an advantage.  Confident working with  large and complex datasets .  Experience working with a range of  stakeholders , understanding their needs and translating them into data solutions.  Strong communication skills, with the ability to  interpret complex data and turn it into a clear, ...</description>
      <category>Permanent</category>
    </item>
  </channel>
</rss>