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    <title>Data Modeller - Harnham - Data &amp; Analytics Recruitment RSS Feed</title>
    <link>https://jobs.co.uk/job/data-modeller-harnham-data-analytics-recruitment--70563265-0797-4c7f-819c-939ed668881e</link>
    <description>RSS feed for Data Modeller at Harnham - Data &amp; Analytics Recruitment.</description>
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    <lastBuildDate>Sat, 29 Aug 2026 23:04:46 GMT</lastBuildDate>
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      <title>Data Modeller - Harnham - Data &amp; Analytics Recruitment</title>
      <link>https://jobs.co.uk/job/data-modeller-harnham-data-analytics-recruitment--70563265-0797-4c7f-819c-939ed668881e</link>
      <guid>https://jobs.co.uk/job/data-modeller-harnham-data-analytics-recruitment--70563265-0797-4c7f-819c-939ed668881e</guid>
      <pubDate>Sat, 29 Aug 2026 11:53:20 GMT</pubDate>
      <description>Location: London | Salary: 65000.00-65000.00 Annual | Type: Permanent | DATA MODELLER LONDON/HYBRID UP TO £65,000  This is an opportunity to shape data modelling and architecture capability within a modern cloud data environment. The role offers strong visibility across multiple projects, with a clear pathway into data architecture and the chance to influence standards and best practice across the organisation.  ROLES AND RESPONSIBILITIES: The Data Modeller will:  Design and develop conceptual, logical and physical data models for enterprise data platforms Apply dimensional modelling approaches such as Kimball or Data Vault to support analytics use cases Collaborate with data engineers, analysts and governance teams to ensure consistent data standards Support multiple projects and ensuring modelling best practices are embedded across delivery Contribute to the evolution of data architecture and helping define long term strategy Work within a modern cloud environment using tools such as Microsoft Fabric and Databricks   YOUR SKILLS AND EXPERIENCE: The ideal candidate will have the following skills and experience:  Strong commercial experience in data modelling across analytics or data platform environments Solid understanding of dimensional modelling te...</description>
      <category>Permanent</category>
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