Data Engineer (Azure, SQL, SSIS and Support)

We are looking for an experienced Data Engineer to support the development, maintenance and optimisation of enterprise data platforms and solutions within an Azure Cloud environment.

Key Requirements

• Strong experience with Microsoft SQL Server, Stored Procedures and SSIS.
• Hands-on experience with Azure Cloud services and infrastructure management.
• Proficiency in Git version control.
• Python experience is advantageous.
• Experience supporting production environments and resolving incidents.

Key Responsibilities

Data Engineering & Platform Support

• Provision and manage Azure resources, including VMs, storage, networking and integration runtimes.
• Monitor platform performance, availability, security and compliance.
• Manage access controls, security configurations, backups and disaster recovery processes.
• Maintain technical documentation and version control standards.

Production Support

• Troubleshoot and resolve production issues, incidents and service requests.
• Perform bug fixes, system maintenance and report enhancements.
• Ensure all changes are tested, documented and deployed according to established processes.
• Support audit, governance and compliance requirements.

Engineering & Delivery

• Analyse requirements and contribute to solution design.
• Develop, configure, test and deploy data engineering solutions.
• Perform code optimisation and integration testing.
• Provide effort estimates and support deployment and migration activities.
• Collaborate with technical teams to ensure solution quality and architectural alignment.

Agile Delivery

• Participate in Agile ceremonies, including planning sessions, stand-ups, reviews and retrospectives.
• Provide regular progress updates and manage assigned deliverables through to completion.

Qualifications & Experience

• Relevant IT Degree, Diploma, or equivalent qualification.
• Experience in Data Engineering, Data Platform Administration, or a similar role.
• Exposure to Azure cloud environments and Agile delivery methodologies.