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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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