Data Engineer (Azure) – Greater Manchester / Hybrid working
We’re supporting a fast-growing SaaS organisation looking to hire an experienced Data Engineer to take ownership of their cloud data platform.
This role focuses on managing and optimising Azure SQL and Cosmos DB, ensuring high levels of performance, availability, and data security across production systems. A key part of the position will involve leading data migrations from external client systems, as well as building reliable ETL pipelines using Azure Data Factory.
You’ll work closely with the Head of Architecture and development team to design scalable data structures, manage schema changes, and ensure the data layer supports the wider application architecture in a secure and compliant cloud environment.
Key Responsibilities:
Design, manage, and optimise Azure SQL and Cosmos DB environments
Monitor and tune database performance, including queries, indexes, and schema design
Lead data migration projects from external platforms into the core system
Build and maintain ETL/ELT pipelines using Azure Data Factory
Implement backup, recovery, and disaster recovery strategies
Ensure database security best practices, including access control, encryption, auditing, and data protection
Support data practices aligned with security and compliance standards (e.g. ISO27001)
Collaborate with development teams to manage schema design and controlled database changes
Experience we are looking for:
Strong experience working with Azure SQL and Cosmos DB
Experience building data pipelines and ETL processes, ideally with Azure Data Factory
Proven experience delivering data migration projects
Database performance tuning and operational management experience
Experience implementing database security best practices in cloud environments
Understanding of how applications interact with databases (ideally within .NET environments)
If you’re looking for a role with real ownership and the opportunity to shape the future of data within a growing business, I’d love to hear from you!
Apply now!
Interview process: 2 stage (20 minute teams call with the recruiter, followed by 1 hour interview on-site)
Please note: Unfortunately, we are unable to provide sponsorship for this position.
Data Engineer (Azure) – Greater Manchester / Hybrid working