Data Engineer - Internal Audit

We are seeking an experienced and enthusiastic Data Engineer - Internal Audit to join our team in Internal Audit.

JOB PURPOSE:

Data Engineer Internal Audit will be responsible for designing, developing, and maintaining the Continuous Control Monitoring system, Data Automation, and data architecture that supports the Internal Audit function. This role ensures the availability of accurate, timely, and relevant data for audit analysis and reporting, helping the audit team identify risks, inefficiencies, and opportunities for process improvements. The position involves collaboration with IT, audit professionals, and other stakeholders to ensure that data sources are properly integrated and aligned with audit objectives.

KEY ACCOUNTABILITIES:

1. Data Architecture & Management: Design, develop, and maintain the architecture for data pipelines, ETL processes, and databases that support audit functions. Build scalable, reliable data infrastructure that allows for seamless data integration from various systems (ERP, CRM, databases, etc.) into audit tools. Ensure the integrity, security, and quality of data used in audit analytics and reporting.
2. Data Collection & Integration: Collaborate with internal audit, IT, and business units to identify and gather relevant data for audit purposes. Create and maintain data pipelines to extract, transform, and load (ETL) data from multiple sources into data warehouses or audit tools. Identify and build key risk indicators (KRIs) after aligning with the Audit team. Integrate data from various structured and unstructured sources for analysis (SQL/NoSQL databases, APIs, etc.). Build Power BI dashboards and integrate it with Oracle and SQL databases.
3. Audit Analytics Support: Assist auditors in identifying key data metrics and build automated solutions to extract insights for audit reports and process improvements. Support advanced data analytics such as anomaly detection, predictive analytics, and trend analysis for audit objectives. Promote and ensure the adoption of the use of data analytics in the Internal Audit function. Collaborate with Finance and the Information Technology departments to leverage and align with data analytics infrastructure to support this endeavor. Promote a culture of data-driven audit findings and recommendations.
4. Collaboration & Communication: Work closely with internal auditors to understand audit objectives and design data solutions that meet their requirements. Communicate data findings and insights to the internal audit team, clearly explaining technical data concepts to non-technical audiences. Provide documentation and training to the audit team on data engineering processes and tools.
5. Innovation & Continuous Improvement: Continuously evaluate new tools, technologies, and data sources to improve the efficiency and effectiveness of the audit process. Identify and implement automation opportunities within the audit process through data engineering solutions.

EXPERIENCE & QUALIFICATION:

1. Bachelor's degree in computer science, Data Engineering, Information Systems, or a related field along with other relevant qualifications in Internal Audit.
2. Minimum of 3+ years of experience in data engineering, data management, or related fields. Experience working with internal audit, risk management, or compliance functions is preferred. Hands-on experience with ETL tools, databases (SQL/NoSQL), data lakes, and data warehousing. Experience with data visualization tools like Power BI, SSRS, or Tableau. Strong background in Oracle ERP applications and ACL auditing software. Strong proficiency in SQL, Python, and data pipeline development.

SKILLS, KNOWLEDGE & ABILITIES:

1. Job Specific: Excellent verbal and written communication, including report writing, is essential. Strong presentation skills are needed for compelling pitches and proposals. Fluency in English is required; proficiency in Arabic is a plus for local stakeholder communication.
2. Generic Skills: Collaborative teamwork and positive relationship-building with stakeholders are crucial. Strong analytical and critical thinking skills are needed for evaluating processes and making data-driven decisions. Effective communication and interpersonal skills, including active listening and clear writing, are important. Knowledge of IT controls, security, data governance, and analytics is required. Project management skills are necessary for handling multiple audits, including planning, organizing, and monitoring progress.