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Strong employer brand, metro location, and senior specialized role increase competition.
Data engineering skills are transferable, but audit/compliance experience raises domain specificity.
Explicit 7–10 years plus specific tech and compliance requirements make filtering strict.
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Design, build, and optimize secure, scalable data pipelines and data products for audit use cases.
Ensure compliance with global data privacy regulations, including GDPR, for audit data solutions.
Serve as the main point of contact for audit teams in managing and mastering assigned datasets, supporting advanced analytics and risk assessment.
7-10 years of experience in data engineering with a focus on pipelines and dashboards.
Proficiency in Python, SQL, and Power BI.
Experience with modern data engineering tools such as Spark, Kafka, Airflow, Hadoop and cloud platforms (AWS, Azure, GCP).
Bachelor's or Master's degree in Engineering.
Experienced in integrating data engineering solutions within audit or compliance environments.
Strong cross-functional collaboration skills to work with audit teams and CDOs effectively.
Technical expertise combined with knowledge of data governance and GDPR compliance in a global, multi-location audit context.