<?xml version="1.0" encoding="utf-8"?>
<rss version="2.0">
  <channel>
    <title>Lead Data Engineer - Method Resourcing RSS Feed</title>
    <link>https://jobs.co.uk/job/lead-data-engineer-method-resourcing--834852a7-1574-46dc-96a7-270ec095a963</link>
    <description>RSS feed for Lead Data Engineer at Method Resourcing.</description>
    <language>en-gb</language>
    <lastBuildDate>Wed, 21 Oct 2026 15:52:48 GMT</lastBuildDate>
    <item>
      <title>Lead Data Engineer - Method Resourcing</title>
      <link>https://jobs.co.uk/job/lead-data-engineer-method-resourcing--834852a7-1574-46dc-96a7-270ec095a963</link>
      <guid>https://jobs.co.uk/job/lead-data-engineer-method-resourcing--834852a7-1574-46dc-96a7-270ec095a963</guid>
      <pubDate>Wed, 21 Oct 2026 11:52:28 GMT</pubDate>
      <description>Location: London | Salary: 550.00-550.00 Daily | Type: Permanent | Lead Data Engineer l Azure l Databricks l Dimensional Modelling l PowerBI l £550-£570 per day Outside IR35 London (2 days per week) 6 months + extensions likely We''re looking for a Lead Data Engineer to join a large-scale data transformation programme, helping shape the future of an enterprise data platform. This role suits someone who combines technical leadership with hands-on delivery. You''ll be comfortable challenging solution designs, influencing architecture decisions and then building the solution yourself. Key experience required:  Deep expertise in dimensional modelling, semantic models and Power BI Strong experience designing and building Gold-layer data solutions Ability to work across engineering, analytics and reporting Experience influencing technical direction and challenging design decisions Enterprise-scale mindset with a focus on scalability, reuse and maintainability Strong stakeholder engagement and communication skills Comfortable mentoring engineers and raising technical standards across a team  We''re looking for a senior engineer who can think strategically whilst staying close to the technology, owning solutions from the data platform through to the end-u...</description>
      <category>Permanent</category>
    </item>
  </channel>
</rss>