Data Engineer

Description:

An award-winning enterprise software scale-up with high ambitions for growth is on the lookout for another Data Engineer to join the team. They recently won the ScotlandIS Digital Tech Scale-up Business of the Year award and have also previously been recognised as Scotland’s fastest-growing tech company in the Deloitte Technology Fast 50 for three consecutive years.

What you’ll do

• Implement, test and deploy Azure Data Factory (ADF) pipeline definitions within version control to customer environments.
• Work with our Site Reliability Engineering team to ensure your solutions are observable, reliable and performant.
• Work with our software implementation consultants (SICs) to define and verify specification documents for ETL process.
• Work with customer IT to test customer data source endpoints to ensure they meet specification.
• Work with our Engineering teams to ensure end-to-end capability for integrated data.
• Support cutover to production systems (can be outside normal working hours).
• Identify improvements to existing Azure Data Factory processes to ensure they are more maintainable across a growing set of customers.

About you

• You must have at least two years of experience in Azure Data Factory and be comfortable building transparent, easy-to-support pipelines.
• Experience building and maintaining data integrations with a variety of external systems.
• Good understanding of the ETL process.
• Comfortable being in a client-facing role.
• Excellent communication skills: you can clearly explain technical matters to any audience.
• Confident working with complex referential data.
• Knowledge of Rest APIs, SQL databases and other data sources.
• A team player, with experience collaborating with other departments.
• You demonstrate good attention to detail and enjoy breaking complex problems down into simple steps.