Data Engineer Auditor

The Data Engineer supports the Internal Audit function by providing independent assurance over the organisation's data landscape, including data infrastructure, data pipelines, data platforms, data quality controls, and data governance processes. The role focuses on assessing whether data is complete, accurate, reliable, secure, and appropriately governed as it moves across source systems, transformation layers, data warehouses, and reporting environments. The Data Engineer combines strong technical data engineering expertise with an assurance mindset to evaluate the design and operating effectiveness of controls across the data lifecycle. This includes reviewing data pipelines, ETL/ELT processes, infrastructure configurations, transformation logic, reconciliation controls, and data quality monitoring processes to provide assurance over critical business and reporting data. The role works closely with Internal Auditors, Data Engineering teams, Data Governance teams, IT, and business stakeholders to strengthen trust in organisational data and support the Internal Audit function's data-driven assurance strategy. The Data Engineer Auditor will also where required support the Internal Audit function by applying data analytics, automation, and data‑driven techniques to enhance audit coverage, efficiency, and assurance quality.   Key Responsibilities Data Infrastructure Assurance Provide independent assurance over the design, implementation, security, resilience, and availability of data platforms and infrastructure. Evaluate controls relating to cloud and on-premise data environments, including monitoring, deployment, change management, backup, and recovery processes. Data Pipeline & Data Integrity Assurance Assess end-to-end data flows, pipelines, and transformation processes to ensure the completeness, accuracy, integrity, and traceability of data. Evaluate data movement, reconciliation, and lineage controls across source systems, data platforms, and reporting environments. Data Quality & Governance Review the effectiveness of data quality controls, governance frameworks, standards, and ownership structures. Assess compliance with internal policies, regulatory requirements, and industry best practices relating to data management. Data & Reporting Assurance Evaluate data models, business rules, and reporting datasets to ensure information used for operational, financial, regulatory, and analytical decision-making is reliable and fit for purpose. Validate the integrity of critical management and reporting information. Audit Innovation & Continuous Assurance Develop and maintain automated audit testing, continuous auditing capabilities, and data-driven assurance solutions. Support Internal Audit's adoption of modern data engineering, analytics, and assurance techniques. Data Engineering Standards & Advisory Contribute to the development of data engineering standards, frameworks, and best practices aligned with the…