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

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)