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Data Engineer (Azure Databricks) Contract

Digital Waffle
Department:Data Engineer
Type:REMOTE
Region:UK
Location:United Kingdom
Experience:Mid-Senior level
Estimated Salary:£83,200 - £93,600
Skills:
AZURE DATABRICKSAZURE DATA FACTORYAZURE DATA STREAMINGC#SALESFORCE INTEGRATIONSDATA PIPELINESINTEGRATION LAYER
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Job Description

Posted on: August 29, 2025

Role: Data Engineer (Azure Databricks) (Contract)Day Rate: £400-£450 (Outside IR35)Duration: 6 monthsLocation: Fully Remote (UK-based candidates only)Start Date: ASAP

We’re working with a leading organisation undergoing a major data transformation programme. They’re looking for a Data Engineer who is a Databricks Specialist to join on a 6-month fully remote contract, helping to modernise and integrate their data environment.

This role will focus on Databricks, revamping Salesforce integrations, modernising data pipelines, and building a new integration layer to replace legacy systems.

Key Responsibilities:

  • Lead development and optimisation of Azure Databricks pipelines and workflows.
  • Work with Azure Data Factory and Azure Data Streaming to ingest, transform, and deliver data in real time.
  • Collaborate with developers to make C# modifications as part of integration improvements.
  • Rebuild and enhance data flows between Salesforce and other systems.
  • Design and implement a new integration layer to replace old estate connections.

Key Skills & Experience:

  • Proven experience as a Databricks Specialist in enterprise environments.
  • Strong knowledge of Azure Data Factory and Azure Data Streaming.
  • Solid C# skills for making application-level changes where required.
  • Experience with Salesforce integrations (revamp, rebuild, optimisation).
  • Previous involvement in building integration layers and migrating from legacy systems.

If you’re a Databricks expert who thrives on complex integration challenges and wants to work on a high-impact transformation project, apply now and we’ll be in touch if you have been selected for shortlisting.

Originally posted on LinkedIn

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