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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

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
Picture of Samantha Relph
Contact Samantha Relph Global Head of Talent Acquisition & Recruitment – K3 Advisory Group - Recruitment

About K3 Advisory Group

With over 1,200 employees across the Group, 25 offices in the UK, and international bases in Malaysia and Cyprus

Founded in 1998
Co-workers 1200+
Turnover 113M
Kuala Lumpur · Hybrid

Data Engineer

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