<?xml version="1.0" encoding="utf-8"?>
<rss version="2.0">
  <channel>
    <title>Data Engineer - Gleeson Recruitment Group RSS Feed</title>
    <link>https://jobs.co.uk/job/data-engineer-gleeson-recruitment-group--2a4a6990-a3ef-4647-a7bf-6622affad251</link>
    <description>RSS feed for Data Engineer at Gleeson Recruitment Group.</description>
    <language>en-gb</language>
    <lastBuildDate>Sat, 25 Apr 2026 19:16:05 GMT</lastBuildDate>
    <item>
      <title>Data Engineer - Gleeson Recruitment Group</title>
      <link>https://jobs.co.uk/job/data-engineer-gleeson-recruitment-group--2a4a6990-a3ef-4647-a7bf-6622affad251</link>
      <guid>https://jobs.co.uk/job/data-engineer-gleeson-recruitment-group--2a4a6990-a3ef-4647-a7bf-6622affad251</guid>
      <pubDate>Thu, 16 Apr 2026 23:00:00 GMT</pubDate>
      <description>Location: Leicester | Salary: &amp;pound;35000 - &amp;pound;40000/annum | Type: Permanent | Data Engineer (SQL / Python)    Onsite 3 times per week (Leicester or Nottingham office)    -35K - -40K DOE   Our client is looking to appoint a Data Engineer to join their expanding data team. This is an excellent opportunity for someone with solid foundational experience who is eager to develop their skills and grow within a modern, cloud-based data environment.  Working alongside senior engineers and analysts, the successful candidate will contribute to the design and development of scalable data solutions while gaining exposure to cutting-edge technologies.   The role will involve:     Supporting the development and maintenance of cloud-based data pipelines    Assisting in the design and optimisation of data models and architectures    Working with analytics teams to ensure high-quality, reliable data outputs    Contributing to best practices in data governance and engineering standards     The successful candidate will ideally have:     Experience with at least one cloud platform (Azure, AWS, or Snowflake)    Exposure to Databricks or similar modern data processing tools    Working knowledge of SQL and some experience with Python    An understanding of data warehousing concept...</description>
      <category>Permanent</category>
    </item>
  </channel>
</rss>