Data Engineer

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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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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 Scotland

IS 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.

• 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.

• 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.

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.

• Seniority level:
  Mid-Senior level
• Employment type:
  
  Full-time
• Job function:
  Information Technology
• Industry: Staffing and Recruiting

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