This job description provides detailed information about the role, responsibilities, and qualifications. However, it can be improved for better readability and focus by organizing the content with appropriate HTML tags and removing irrelevant sections like other job listings and promotional content. Here's a refined version:
Job Title: Data Engineer
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. Recognized as Scotland’s fastest-growing tech company in the Deloitte Technology Fast 50 for three consecutive years, they recently won the ScotlandIS Digital Tech Scale-up Business of the Year award.
Responsibilities:
* Implement, test, and deploy Azure Data Factory (ADF) pipelines within version control to customer environments.
* Collaborate with Site Reliability Engineering to ensure solutions are observable, reliable, and performant.
* Work with software implementation consultants to define and verify ETL process specifications.
* Test customer data source endpoints to ensure they meet specifications.
* Coordinate with engineering teams to ensure end-to-end data capabilities.
* Support system cutovers to production, possibly outside normal hours.
* Identify improvements to Azure Data Factory processes for maintainability across multiple clients.
Qualifications:
* At least two years of experience with Azure Data Factory and building supportable pipelines.
* Experience with data integrations from various external systems.
* Good understanding of the ETL process.
* Excellent communication skills for explaining technical concepts.
* Confidence working with complex referential data.
* Knowledge of REST APIs, SQL databases, and other data sources.
* Team player with collaborative experience across departments.
* Attention to detail and problem-solving skills.
Application Process:
Interested candidates should send an up-to-date CV. Qualified applicants will be contacted within 48 hours.
Additional Details:
* Seniority Level: Mid-Senior level
* Employment Type: Full-time
* Job Function: Information Technology
* Industry: Staffing and Recruiting
#J-18808-Ljbffr