Data Engineer (Azure Data Factory)
Location: Fully Remote or Hybrid / Edinburgh
Salary: £45,000
Working 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 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.
Bonus points if you have
- Previous experience directly leading calls with clients
- Experience in other Azure data technologies such as Azure Databricks
- Integrated with a variety of downstream data sources, including but not limited to: Cloud services, Custom Rest APIs, Database (on-prem)
Applying for the opportunity
If 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.
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