<?xml version="1.0" encoding="utf-8"?>
<rss version="2.0">
  <channel>
    <title>Data Engineer - Databricks - Akkodis RSS Feed</title>
    <link>https://jobs.co.uk/job/data-engineer-databricks-akkodis--ee43f91d-43a2-44e6-9dfc-311a53f57042</link>
    <description>RSS feed for Data Engineer - Databricks at Akkodis.</description>
    <language>en-gb</language>
    <lastBuildDate>Sun, 31 May 2026 08:25:56 GMT</lastBuildDate>
    <item>
      <title>Data Engineer - Databricks - Akkodis</title>
      <link>https://jobs.co.uk/job/data-engineer-databricks-akkodis--ee43f91d-43a2-44e6-9dfc-311a53f57042</link>
      <guid>https://jobs.co.uk/job/data-engineer-databricks-akkodis--ee43f91d-43a2-44e6-9dfc-311a53f57042</guid>
      <pubDate>Tue, 26 May 2026 23:00:00 GMT</pubDate>
      <description>Location: Manchester | Salary: &amp;pound;50000 - &amp;pound;60000/annum | Type: Permanent | Data Engineer - Databricks    Salary: -50K - -60K    Location: Manchester (3 days per week)       Role Overview:   Our client is looking for a Data Engineer to take ownership of a Databricks platform and help push it into its next stage of maturity.  This is a great opportunity for someone who enjoys more than just building pipelines. The role is focused on improving data quality, strengthening platform reliability, developing clearer Bronze, Silver and Gold data layers, and creating trusted datasets that can support reporting, analytics and wider business decision-making.  You''ll be joining a business where data is becoming increasingly important, with the opportunity to shape how data is structured, governed and used across the organisation.      Key Responsibilities:    Maintain, improve and optimise an existing Databricks data platform.  Build and enhance scalable data pipelines using Spark, SQL and Python or Scala.  Develop and mature Bronze, Silver and Gold layers to support analytics, reporting and downstream data use.  Ingest and integrate data from APIs, databases and other source systems.  Design data quality rules, validation checks and exception reporting to improve tr...</description>
      <category>Permanent</category>
    </item>
  </channel>
</rss>