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    <title>Senior Data Engineer - Harnham - Data &amp; Analytics Recruitment RSS Feed</title>
    <link>https://jobs.co.uk/job/senior-data-engineer-harnham-data-analytics-recruitment--08728025-99a3-470f-97e3-93f086aca664</link>
    <description>RSS feed for Senior Data Engineer at Harnham - Data &amp; Analytics Recruitment.</description>
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    <lastBuildDate>Thu, 08 Oct 2026 17:22:09 GMT</lastBuildDate>
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      <title>Senior Data Engineer - Harnham - Data &amp; Analytics Recruitment</title>
      <link>https://jobs.co.uk/job/senior-data-engineer-harnham-data-analytics-recruitment--08728025-99a3-470f-97e3-93f086aca664</link>
      <guid>https://jobs.co.uk/job/senior-data-engineer-harnham-data-analytics-recruitment--08728025-99a3-470f-97e3-93f086aca664</guid>
      <pubDate>Thu, 08 Oct 2026 11:56:53 GMT</pubDate>
      <description>Location: London | Salary: 70000.00-70000.00 Annual | Type: Permanent | Senior Data Engineer London Hybrid (4 days a week) £70,000 - £80,000 This is an excellent opportunity for a Senior Data Engineer looking to work on modern cloud technologies, AI-enabled products, and enterprise-scale data challenges. You''ll play a key role in designing and delivering the data foundations that power innovative analytics and AI solutions. The Company They are an established AI-powered SaaS business at the forefront of data and AI innovation. Their platform helps organisations transform complex datasets into actionable intelligence, supporting better decision-making and stronger business outcomes. Continued growth and investment mean they are expanding their engineering team to support an exciting product roadmap. The Role  Design and develop scalable ETL and ELT pipelines Build and optimise data models supporting analytics and AI workloads Develop and maintain cloud-native data solutions Support CI/CD implementation and deployment processes Integrate AI and machine learning outputs into production environments Implement monitoring, governance, and operational best practices Collaborate closely with Product, Engineering, and Data Science teams Mentor colleagues and c...</description>
      <category>Permanent</category>
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