<?xml version="1.0" encoding="utf-8"?>
<rss version="2.0">
  <channel>
    <title>Data Platform Lead - Energy Trading - Strike IT Services RSS Feed</title>
    <link>https://jobs.co.uk/job/data-platform-lead-energy-trading-strike-it-services--2e2081ff-3c7d-4922-b043-4b8e498431e1</link>
    <description>RSS feed for Data Platform Lead - Energy Trading at Strike IT Services.</description>
    <language>en-gb</language>
    <lastBuildDate>Mon, 19 Oct 2026 15:37:37 GMT</lastBuildDate>
    <item>
      <title>Data Platform Lead - Energy Trading - Strike IT Services</title>
      <link>https://jobs.co.uk/job/data-platform-lead-energy-trading-strike-it-services--2e2081ff-3c7d-4922-b043-4b8e498431e1</link>
      <guid>https://jobs.co.uk/job/data-platform-lead-energy-trading-strike-it-services--2e2081ff-3c7d-4922-b043-4b8e498431e1</guid>
      <pubDate>Mon, 19 Oct 2026 11:54:26 GMT</pubDate>
      <description>Location: London | Salary: 10000-500000 Annual | Type: Contract | Data Platform Lead - Energy Trading andamp; LNG Location: London - hybrid workingContract: Initial 6 months, with a view to extend We are seeking a Data Platform Lead to drive the development of a centralised trading and LNG data platform for a leading energy organisation. Combining hands-on data engineering expertise with platform strategy and delivery ownership, you will help make trading data accessible, reliable and reusable across business, reporting and analytics use cases. Key Responsibilities   Own the platform vision, strategy and roadmap, aligning priorities with trading, LNG and reporting requirements.   Translate business requirements and complex trading processes into clear data product requirements, priorities and acceptance criteria.   Drive the end-to-end data life cycle, from source systems such as Endur, through ingestion, standardisation, enrichment and historical storage in Databricks, to curated datasets, reports and extracts.   Work closely with engineering and architecture teams to define data models, design patterns and implementation approaches, balancing scalability, performance, maintainability and reuse.   Establish data quality, governance and lineage, ...</description>
      <category>Contract</category>
    </item>
  </channel>
</rss>