Data Engineer (Azure Data Factory)

Data Engineer (Azure Data Factory)Location: Fully Remote or Hybrid / EdinburghSalary: £45,000Working hours: 2 pm - 10.30 pm (Flexible)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 doImplement, 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 youYou 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.Bonus points if you havePrevious experience directly leading calls with clientsExperience in other Azure data technologies such as Azure DatabricksIntegrated with a variety of downstream data sources, including but not limited to: Cloud services, Custom Rest APIs, Database (on-prem)Applying for the opportunityIf you feel you have the required experience and would like to be considered for the opportunity, please forward an up-to-date version of your CV, and someone will contact you back within 48 hours if we feel you meet the requirements of the role.