<?xml version="1.0" encoding="utf-8"?>
<rss version="2.0">
  <channel>
    <title>MS Fabric Data Engineer - Syntax Consultancy RSS Feed</title>
    <link>https://jobs.co.uk/job/ms-fabric-data-engineer-syntax-consultancy--7bad5243-6ab5-4c81-9829-ac6512bcba83</link>
    <description>RSS feed for MS Fabric Data Engineer at Syntax Consultancy.</description>
    <language>en-gb</language>
    <lastBuildDate>Tue, 20 Oct 2026 19:24:19 GMT</lastBuildDate>
    <item>
      <title>MS Fabric Data Engineer - Syntax Consultancy</title>
      <link>https://jobs.co.uk/job/ms-fabric-data-engineer-syntax-consultancy--7bad5243-6ab5-4c81-9829-ac6512bcba83</link>
      <guid>https://jobs.co.uk/job/ms-fabric-data-engineer-syntax-consultancy--7bad5243-6ab5-4c81-9829-ac6512bcba83</guid>
      <pubDate>Tue, 20 Oct 2026 11:53:07 GMT</pubDate>
      <description>Location: Derby | Salary: 10000-500000 Annual | Type: Permanent | MS Fabric Data EngineerDerbyshire (Hybrid)Permanent£40,000 + Benefits Microsoft Fabric Data Engineer needed for a permanent Full time position based near Derby (Hybrid). Must have strong hands-on MS Fabric experience.Hybrid Working - 3 days/week working remotely from home + 2 days/week working from the office. The first 1-2 months will be Full time from the office to allow you to get to know the role + the team.A chance to join an established and growing business with a proven track record in their industry. Start ideally Nov/Dec 2026:  Microsoft Fabric Data Engineer needed to help develop + establish modern Data Engineering solutions.Strong hands on experience of Microsoft Fabric for designing + building secure, scalable Data Engineering solutions.Experience of core MS Fabric features including: OneLake, Lakehouses, Warehouses, Data Pipelines, Dataflows, Gen2, Notebooks, Eventstreams + Eventhouses.Using SQL, T-SQL, Spark SQL, PySpark + Python for data ingestion, data transformation, data optimisation, data modelling, and converting structured/unstructured source data into validatd Delta tables.Using Power BI for semantic models, data preparation + data performance.Integrating 3rd ...</description>
      <category>Permanent</category>
    </item>
  </channel>
</rss>