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    <title>Data Engineer - Harnham - Data &amp; Analytics Recruitment RSS Feed</title>
    <link>https://jobs.co.uk/job/data-engineer-harnham-data-analytics-recruitment--75d3bd45-9f37-4edd-b864-f98707aec28d</link>
    <description>RSS feed for Data Engineer at Harnham - Data &amp; Analytics Recruitment.</description>
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    <lastBuildDate>Sat, 29 Aug 2026 16:43:02 GMT</lastBuildDate>
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      <title>Data Engineer - Harnham - Data &amp; Analytics Recruitment</title>
      <link>https://jobs.co.uk/job/data-engineer-harnham-data-analytics-recruitment--75d3bd45-9f37-4edd-b864-f98707aec28d</link>
      <guid>https://jobs.co.uk/job/data-engineer-harnham-data-analytics-recruitment--75d3bd45-9f37-4edd-b864-f98707aec28d</guid>
      <pubDate>Sat, 29 Aug 2026 11:53:08 GMT</pubDate>
      <description>Location: London | Salary: 500.00-500.00 Daily | Type: Permanent | Data Engineer 6-months  £500-£600 per dayRemote   This is an opportunity to join a leading organisation within the credit information and data services sector, supporting a major cloud analytics transformation programme. You''ll play a key role in adapting data products and analytical assets for a new external-facing platform, helping to deliver scalable and accessible data solutions for clients.  The Company They are a well-established data and analytics organisation that helps businesses make better decisions through trusted data, advanced technology, and cloud-based solutions. As part of a significant platform modernisation initiative, they are expanding their analytics capability and investing in innovative cloud technologies. This role offers the chance to work on large-scale data assets within a highly collaborative environment.  The Role and Deliverables  Modify and enhance existing data pipelines, analytical tools, and data assets for deployment on a new cloud analytics platform. Adapt internal data products to operate effectively within external client sandbox environments. Develop, optimise, and maintain data processing solutions using Python and SQL. Work with large-scal...</description>
      <category>Permanent</category>
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