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Global bank brand and metro location increase applicant density, but seniority and niche audit focus moderate competition.
Strong audit/compliance and GDPR requirements raise domain specificity, limiting cross-industry transferability.
Explicit 7–10 years, mandatory technical stack, and regulatory/GDPR expertise make filters strict.
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Design, build, and optimize scalable, secure data pipelines and data products to support audit use cases globally.
Own mastering all datasets within the assigned perimeter and act as primary contact point for Internal Audit teams.
Develop interactive Power BI dashboards and perform advanced analytics using Python to deliver insights for audit findings and risk assessments.
7–10 years of experience in data engineering focused on pipelines and dashboards.
Proficiency in Python, SQL, and Power BI; experience with modern data engineering tools (Spark, Kafka, Airflow, Hadoop) and cloud platforms (AWS, Azure, GCP).
Deep understanding of GDPR and global data governance compliance.
Bachelor's or Masters Degree of Engineering.
Experience working in or closely with audit or compliance environments, with ability to bridge technical and audit teams effectively.
Skilled at managing multi-location/global audit projects involving diverse teams.
Strong in data governance, regulatory compliance, and delivering high-quality, accessible data solutions to support audit missions.