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    <title>Senior Data Engineer - Finance Data - Client Server RSS Feed</title>
    <link>https://jobs.co.uk/job/senior-data-engineer-finance-data-client-server--5421e4a7-84a8-46e0-878b-87294219cac4</link>
    <description>RSS feed for Senior Data Engineer - Finance Data at Client Server.</description>
    <language>en-gb</language>
    <lastBuildDate>Mon, 15 Jun 2026 14:53:31 GMT</lastBuildDate>
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      <title>Senior Data Engineer - Finance Data - Client Server</title>
      <link>https://jobs.co.uk/job/senior-data-engineer-finance-data-client-server--5421e4a7-84a8-46e0-878b-87294219cac4</link>
      <guid>https://jobs.co.uk/job/senior-data-engineer-finance-data-client-server--5421e4a7-84a8-46e0-878b-87294219cac4</guid>
      <pubDate>Mon, 15 Jun 2026 11:50:38 GMT</pubDate>
      <description>Location: London | Salary: 110000.00-110000.00 Annual | Type: Permanent | Senior Data Engineer (Python SQL AWS) London / WFH to £120k  Do you have experience of building data pipelines within finance / Fintech environments? You could be progressing your career in a senior, hands-on Data Engineer role at a scaling Investment Research tech company in an impactful role with great benefits and perks. As a Senior Data Engineer you will be at the intersection of data engineering, database management and platform delivery. You will help build and evolve a modern, scalable AWS cloud based data platform. Your focus will be on designing and maintaining data pipelines, ingestion frameworks and processing workflows, supporting the migration of existing datasets into a unified data architecture. Collaborating closely with the Data Platform Engineer, you will contribute to platform design, data modelling, database optimisation and the onboarding of new data sources. You''ll also be responsible for managing and optimising PostgreSQL and time-series database environments, improving data quality and governance and ensuring platform reliability, performance and scalability. Location / WFH:  You have experience as a Data Engineer, working with financial data / market data ...</description>
      <category>Permanent</category>
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