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K3 Capital Group career site
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
Employment type
Full-time
Employment level
Professionals
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Contact Samantha Relph K3 Careers

About K3 Capital Group

With over 1,000 employees across the Group, 30 offices in the UK, and international bases in Cyprus, Singapore, and Mauritius

Founded in 1998
Co-workers 1000+
Turnover 70M
Kuala Lumpur · Hybrid

Data Engineer

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