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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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