Kuala Lumpur
·
Hybrid
Data Engineer
Role Purpose: Build and maintain reliable ELT pipelines, data models, and data products powering analytics and AI across all K3 brands. Enable data- driven decision making through high-quality, secure data access.
Key Responsibilities:
- Develop ELT pipelines from SaaS/ERP systems to Azure Data Lake/Synapse
- Design and implement data models (star/medallion) with semantic layers
- Implement data quality rules, lineage tracking, and security controls
- Optimize performance and manage schema evolution with CDC
- Support cross-brand data integration while maintaining data segregation
Preferable Experience:
- 4+ years in modern data engineering with cloud platforms
- Strong SQL and Python/Scala for data transformation
- Experience with Azure Data Factory/Fabric/Databricks
- Data governance and PII handling expertise
- Version-controlled ETL/ELT pipeline development
- Only Malay Nationals will be considered
Success Measures:
- Data freshness >95% on priority datasets
- Data quality score ≥98% on critical fields
- New connectors delivered within agreed SLAs (≤10 days)
Salary Range:
RM 110,000 - 172,000 per year + competitive benefits package
Location: Kuala Lumpur, Malaysia (Hybrid working model)
- Locations
- Kuala Lumpur
- Remote status
- Hybrid
- Yearly salary
- MYR110,000 - MYR172,000
- Employment type
- Full-time
- Employment level
- Professionals

About K3 Capital Group
With over 1,200 employees across the Group, 30 offices in the UK, and international bases in Malaysia, Hong Kong, Cyprus, Vietnam, Singapore, and Mauritius
Founded in
1998
Co-workers
1400+
Turnover
70M
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