Data Engineer

Digital Waffle; United Kingdom; Remote; GBP 45,000 - 65,000; Full time

Job summary

A leading company in the UK is seeking a Data Engineer to join their award-winning team. This role involves implementing Azure Data Factory pipelines, collaborating across departments, and ensuring data integration capabilities. Ideal candidates will have strong communication skills and experience in ETL processes. This position offers opportunities for growth in a dynamic environment.

Qualifications

• At least two years of experience with Azure Data Factory.
• Good understanding of the ETL process.

Responsibilities

• Implement, test, and deploy Azure Data Factory pipeline definitions.
• Collaborate with Site Reliability Engineering team for reliable solutions.

Skills

Communication

Teamwork

Attention to Detail

Tools

Azure Data Factory

SQL

REST APIs

Job description

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Base pay range

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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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