# Data Engineer

**Company:** [Fuku](http://jobs.workable.com/companies/cVzy4Zi49yLx9EZznjyX2v.md)
**Location:** Singapore, Singapore
**Workplace:** on site
**Employment type:** Full-time

[Apply for this job](http://jobs.workable.com/view/f96363e3-7751-4a4d-854c-a759c30b709d)

## Description

Job Description  
  
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).  
  
Preferred  
  
\- 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 data platforms (AWS, GCP, Azure) and security best practices.  
\- Prior collaboration with legal, compliance, or security teams.