<?xml version="1.0" encoding="utf-8"?>
<rss version="2.0">
  <channel>
    <title>Data Engineer - Lynx Recruitment Ltd RSS Feed</title>
    <link>https://jobs.co.uk/job/data-engineer-lynx-recruitment-ltd--504e42d2-d0e2-447d-8fa6-dd57c3686f7c</link>
    <description>RSS feed for Data Engineer at Lynx Recruitment Ltd.</description>
    <language>en-gb</language>
    <lastBuildDate>Sat, 18 Jul 2026 17:46:00 GMT</lastBuildDate>
    <item>
      <title>Data Engineer - Lynx Recruitment Ltd</title>
      <link>https://jobs.co.uk/job/data-engineer-lynx-recruitment-ltd--504e42d2-d0e2-447d-8fa6-dd57c3686f7c</link>
      <guid>https://jobs.co.uk/job/data-engineer-lynx-recruitment-ltd--504e42d2-d0e2-447d-8fa6-dd57c3686f7c</guid>
      <pubDate>Sat, 18 Jul 2026 11:51:30 GMT</pubDate>
      <description>Location: London | Salary: 50000.00-50000.00 Annual | Type: Permanent | Data Engineer (Permanent) Salary: Up to £65,000 Location: London Victoria (1 day per week onsite, rest remote) The Role We are seeking a skilled Data Engineer to join a growing team delivering modern, scalable data solutions. This is a permanent opportunity offering a hybrid model, with one-two days per week in London Victoria and the remainder working remotely. You will play a key role in designing, building, and optimising data pipelines and platforms, supporting advanced analytics and Business Intelligence initiatives. Key Responsibilities  Design and develop scalable data pipelines and data processing solutions Work with modern data platforms such as Microsoft Fabric, Databricks, or similar technologies Build and optimise data solutions using Python, Spark, PySpark, and/or SQL Support data integration, transformation, and performance optimisation Collaborate with stakeholders to ensure high-quality, reliable data architecture  Essential Skills andamp; Experience  Hands-on experience with Microsoft Fabric, Databricks, or equivalent modern data platforms Strong coding experience in Python and/or Spark/PySpark Solid SQL skills and experience working with structured datasets  Desir...</description>
      <category>Permanent</category>
    </item>
  </channel>
</rss>