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Data Engineer

Job in Edinburgh, City of Edinburgh Area, EH1, Scotland, UK
Listing for: Digital Waffle
Full Time, Seasonal/Temporary position
Listed on 2026-10-06
Job specializations:
  • IT/Tech
    Data Engineering, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 45000 - 65000 GBP Yearly GBP 45000.00 65000.00 YEAR
Job Description & How to Apply Below

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This range is provided by Digital Waffle. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

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Building Business Intelligence & Data Engineering Teams for Clients in the UK

Location:

Fully Remote or Hybrid / Edinburgh

An award-winning enterprise software scale-up with high ambitions for growth is seeking a Data Engineer to join their team. They recently won the ScotlandIS Digital Tech Scale-up Business of the Year award and have been recognized as Scotland’s fastest-growing tech company in the Deloitte Technology Fast 50 for three consecutive years.

Responsibilities:
  • Implement, test, and deploy Azure Data Factory (ADF) pipeline definitions within version control to customer environments.
  • Collaborate with the Site Reliability Engineering team to ensure solutions are observable, reliable, and performant.
  • Work with software implementation consultants (SICs) to define and verify specification documents for ETL processes.
  • Coordinate with customer IT to test data source endpoints for compliance with specifications.
  • Partner with engineering teams to ensure end-to-end data integration capabilities.
  • Support system cutover to production, which may occur outside normal working hours.
  • Identify and implement improvements to existing Azure Data Factory processes for better maintainability across multiple customers.
Qualifications:
  • At least two years of experience with Azure Data Factory, building transparent and supportable pipelines.
  • Experience in developing and maintaining data integrations with various external systems.
  • Good understanding of the ETL process.
  • Excellent communication skills for explaining technical matters clearly.
  • Confidence working with complex referential data.
  • Knowledge of REST APIs, SQL databases, and other data sources.
  • Team player with experience collaborating across departments.
  • Strong attention to detail and ability to break down complex problems into simple steps.
Application Process:

If you meet these requirements and are interested, please submit an up-to-date CV. A recruiter will contact you within 48 hours if your profile matches the role.

Additional Details:
  • Seniority level:
    Mid-Senior level
  • Employment type:

    Full-time
  • Job function:
    Information Technology
  • Industry: Staffing and Recruiting

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