What you will do: Reporting directly to the Audit Analytics Director, the Data Analytics Engineer enables GIA Data Analysts and Audit Teams to deliver efficient data-driven audit testing through curated datasets and self-serve applications. * Identify, integrate, and operationalise new data sources into the GIA Data Analytics environment * Run data input quality checks to ensure completeness and accuracy * Develop scheduled data preparation routines to transform raw inputs into curated datasets with time-stamping for historical accuracy * Document data integration processes and train others to eliminate single points of failure * Maintain an organised data analytics library including field definitions, data limitations, and provenance details * Maintain the GIA Data Analytics AWS platform. Manage vulnerabilities, patching, data and code backups. * Mentor Data Analysts and Internal Audit teams on the use of available data Qualifications What you will bring: * At least 5 years of experience in a similar role * Degree with high technical content * Fluent English * Experience connecting to diverse data sources through APIs, SQL databases, and other methods, and developing data pipelines * Expert in data processing, automation, and analytics using Python (Pandas, NumPy, SQLAlchemy, and ETL workflows) * Experience with AWS or Azure equivalents (Terraform, S3, EC2, Lambda, Glue, Athena, IAM, CloudShell) * Knowledge of internal audit workflows, risk assessment, and control testing models * Experience building pipelines preserving evidence chains and audit logs * Experience with AI would be advantageous.