Data Engineer - Platform & Analytics (Cloud)

TL;DR

Data Engineer - Platform & Analytics (Cloud): Delivering end-to-end data solutions including application databases, lakehouse platforms, and data pipelines with an accent on scalability and operational excellence. Focus on designing ETL/ELT processes, optimizing cloud-based data platforms, and enabling self-service reporting.

Location: Kuala Lumpur, Malaysia

Company

A global insurance provider focusing on digital business transformation across the Asia-Pacific region.

What you will do

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
• Optimize cloud-based data platforms, databases, and data lakehouses across multiple source systems.
• Perform database administration, troubleshooting, and performance tuning for application databases.
• Develop dashboards, reports, and analytical datasets to enable self-service reporting.
• Implement data security, governance, and compliance requirements across data assets.
• Collaborate with stakeholders to translate business requirements into scalable data models.

Requirements

• Bachelor's degree in Computer Science, IT, Data Engineering, or a related field.
• 3–7 years of experience in data engineering, database development, or analytics engineering.
• Strong SQL development and query optimization skills.
• Experience with relational databases such as PostgreSQL, Oracle, or SQL Server.
• Experience with cloud data platforms such as AWS, Azure, or Databricks.
• Experience with reporting and visualization tools, specifically Power BI.

Nice to have

• Experience with Databricks, Delta Lake, and Spark.
• Knowledge of AWS services including Glue, S3, Lambda, and IAM.
• Familiarity with CI/CD and DevOps practices.
• Experience using AI-assisted development tools such as GitHub Copilot.

Culture & Benefits

• Exposure to strategic regional APAC data and AI initiatives.
• Hands-on experience with modern cloud and data technologies.
• Opportunities for career growth through role ownership and specialization.
• Supportive environment that values thinking outside the box and challenging the status quo.
• Collaborative regional team culture focusing on continuous learning.