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Data Privacy Security Engineer

Other Full-time Permanent Worldwide

Job details

Not specified Salary
Worldwide Eligibility
Not specified Experience
Full-time Employment

About this role

Role overview A Data Privacy Security Engineer will protect sensitive customer and business data across products, data platforms, and third-party services within a Southeast Asian fintech and insurance business. The role partners with Data, Engineering, Product, Legal, and Compliance teams to embed privacy-by-design and reduce data-related risks throughout the organisation.

Responsibilities - Safeguard sensitive data across collection, processing, storage, sharing, retention, and deletion stages. - Map data flows and assess privacy and security risks across applications, analytics, integrations, and third-party providers. - Implement encryption, tokenisation, masking, anonymisation, retention, and least-privilege data access controls. - Collaborate with data engineering teams to secure pipelines, databases, warehouses, and cloud data services on AWS and GCP. - Assess customer data shared with third-party AI model vendors and define minimisation, approved use, retention, and access controls. - Own data and privacy controls for SC TRM and BNM RMiT, including assessments, evidence, remediation, and audit support. - Support privacy impact assessments, access reviews, monitoring, incident response, and privacy-by-design reviews.

Requirements - Degree in Computer Science, Information Security, Data Engineering, or a related field, or equivalent experience. - Three or more years in data security, privacy engineering, security engineering, or data platform engineering. - Experience implementing and owning SC TRM and BNM RMiT controls relevant to data protection and technology risk. - Understanding of privacy-by-design, data classification, retention, access management, and third-party data sharing. - Knowledge of encryption, key management, masking, tokenisation, anonymisation, and secure data processing. - Experience securing databases, data pipelines, and AWS or GCP data platforms; familiarity with AI vendor data flows is beneficial. - Familiarity with applicable privacy and security frameworks and the ability to collaborate across technical and compliance teams.

Nice to have - Strong English communication is required, as English is the primary working language across global teams.

Skills detected in the listing

Data EngineeringInformation SecurityAWSGCP
Detected Sep 29, 2026
Last verified Sep 29, 2026

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