Senior Data Analytics Engineer

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.