Azure Data Platform Engineer at Praesignis

Overview

• 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.