Data Engineer (Compliance) - Singapore

Data Engineer (Compliance) - Singapore About Plaud Inc. Plaud is building the world's most trusted AI work companion for professionals to elevate productivity and performance through note-taking solutions, loved by over 1,500,000 users worldwide since 2023. With a mission to amplify human intelligence, Plaud is building the next-generation intelligence infrastructure and interfaces to capture, extract, and utilize what you say, hear, see, and think. Plaud Inc. is a Delaware-incorporated, San Francisco-based company pushing the boundary of human–AI intelligence through a hardware–software combination. With ISO 27001, ISO 27701, GDPR, SOC 2, HIPAA, and EN 18031 compliance, Plaud is committed to the highest standards of data security and privacy protection. To learn more about Plaud, please visit http://www.plaud.ai/https://www.plaud.ai and follow along on Instagram https://www.instagram.com/plaud_official/, https://twitter.com/PLAUDAI%22HYPERLINK%20%22https:/twitter.com/PLAUDAI%22%20%5C%22HYPERLINK%20%22https:/twitter.com/PLAUDAI%22%20%5CX https://twitter.com/PLAUDAI, Facebook https://www.facebook.com/plaudai, LinkedIn https://www.linkedin.com/company/plaudai/?viewAsMember=true, and YouTube https://www.youtube.com/@PLAUDAI Why You Should Join Us Plaud is building the next generation intelligence infrastructure and interfaces to capture, extract, and utilize intelligence from what people say, hear, see, and think. - Plaud is a bootstrapped, skyrocketing, profitable company with a $250M revenue run rate achieved in just three years. - Define the next-gen paradigm for human-AI interaction. - Gain exposure to cutting-edge AI for Pro tools and play a direct role in our global expansion. - Work with passionate teammates who value innovation, collaboration, and customer success. - Grow your career in a culture that champions continuous learning and fast career development. - Market-competitive compensation, global exposure, and a vibrant, creativity-fueled work atmosphere. What you will do - Perform data inspection, classification, and profiling on regional datasets to assess sensitivity and compliance requirements. - Design and implement data desensitization, masking, anonymization, and pseudonymization pipelines prior to ingestion and exposure. - Build and maintain clean, compliant, and well-documented datasets for downstream analytics and reporting. - Support user-level and aggregated (fine-to-coarse) data analysis in compliance with regional data regulations. - Collaborate with data governance, security, and legal/compliance teams to translate regulatory requirements into technical controls and data workflows. - Enforce compliance-by-design principles: no desensitization → no ingestion; no inspection → no exposure. - Contribute to continuous improvement of data quality, data lineage, metadata management, and auditability. - Participate in platform construction and administration under strict controls (e.g., RBAC, MFA, IP allowlists, separation of duties). Skills, qualifications and experience we look for - 3–5 years of experience as a Data Engineer or in a closely related role. - Strong hands-on experience with data pipelines, ETL/ELT, and data warehousing (e.g., Spark, SQL, Airflow, Kafka, Hive, or equivalent). - Solid understanding of data cleaning, validation, and quality assurance techniques. - Practical experience handling sensitive or regulated data (PII, user-level data, financial, or operational data). - Working knowledge of data compliance concepts and regional regulations, such as SOC2, HIPPA, PDPA, GDPR, EO14117, or similar frameworks. - Proficiency in SQL and at least one programming language (Python preferred). Prefered: - Experience with data masking, anonymization, or privacy-preserving analytics. - Familiarity with data governance frameworks, metadata management, and audit logging. - Experience operating in multi-region or cross-border data environments. - Exposure to cloud-based dat ... (truncated, view full listing at source)