Data Platform Engineer

Join our global team as a Data Platform Engineer to build, operate, and evolve our modern data platform. You will play a key role in designing scalable data pipelines, improving data quality, and enabling analytics and AI use cases across our organization.

Requirements

• 3+ years experience in data engineering or platform engineering
• Strong SQL skills and experience working with large datasets
• Experience with modern data stack tools, such as: dbt, Snowflake (or similar cloud data warehouse), Azure (or AWS/GCP)
• Experience building ETL/ELT pipelines
• Solid understanding of data modeling (e.g., dimensional modeling)
• Knowledge of CI/CD and version control (Git)
• Strong problem-solving skills and ability to work independently

Benefits

• Opportunity to shape a modern data platform from the ground up
• Work with cutting-edge technologies (Snowflake, dbt, Azure)
• A collaborative environment with strong engineering and product focus
• Influence on data strategy, governance, and platform direction
• Competitive compensation and benefits
• Flexible hybrid working conditions
• 5-days work week including complying with Malaysia’s Public Holiday
• International work environment and culture
• Great learning and development opportunities
• Hybrid working arrangement (3 days in the office, 2 days remotely)