Senior Data & AI Engineer (AWS)

About the role

Lead the design, development and continuous enhancement of the organisation's Enterprise Data & AI Platform. This role is responsible for enterprise data management, analytics, AI solutions and digital innovation, while building internal capabilities and reducing reliance on external vendors.

Key responsibilities

• Build and manage a scalable, secure AWS-based data platform.

• Develop and maintain data pipelines, integrations and governance standards.

• Ensure trusted, accessible data for analytics, reporting and AI initiatives.

• Develop APIs, integrations and reusable technology components.

• Build internal web applications and workflow automation solutions.

• Deliver enterprise dashboards and reporting solutions using Amazon QuickSight.

• Enable self-service analytics and data-driven decision-making.

• Develop AI-powered solutions to improve productivity and automate processes.

• Integrate AI capabilities into business applications.

• Establish internal ownership of data and AI platforms.

About you

• Bachelor's degree in Computer Science, IT, Data Science or related field.
• Minimum 5 years' experience in Data Engineering, Cloud Engineering, Application Development, Data Warehousing or System Integration.
• AWS, Microsoft, AI or Data Engineering certifications are advantageous.
• ASP.net
• Java Script
• Advanced SQL
• Python
• Data Modelling & Data Warehousing
• ETL/ELT Development
• Data Integration & REST APIs

Why Join Us?

Join us to lead our Data & AI transformation, working directly with the CIO to build enterprise-scale data,

analytics and AI solutions. You'll have the opportunity to drive innovation, make a visible business impact, and

grow your expertise across cloud, data and AI technologies