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.
Top Skills
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