Key Responsibilities:

• Design and build scalable data architectures supporting analytics and AI/ML applications


• Develop robust data ingestion pipelines to process structured and unstructured datasets


• Collaborate with AI engineers to optimise data pipelines for model training and experimentation


• Maintain and enhance data warehouses and databases across environments


• Implement data solutions including relational, NoSQL, blob, and vector-based data stores


• Ensure high data quality, performance, and reliability across platforms


• Troubleshoot data issues and implement long-term solutions for system stability


• Stay current with developments in data en...