Data Platform Engineer

About the role

Join Wilhelmsen Ship Management’s global data team in Kuala Lumpur to design, build and operate a modern data platform that supports analytics and AI across the organization.

Key responsibilities

• Design, build and maintain scalable data pipelines using tools such as dbt, Snowflake and Azure.
• Develop and optimise data models for business analytics.
• Own platform reliability, performance and cost‑efficiency.
• Implement data quality, observability and testing frameworks.
• Contribute to data governance, metadata and lineage practices.
• Enable self‑service data access for product teams and analysts.
• Support data‑driven features and services in close collaboration with product teams.
• Participate in migration from legacy systems to a modern data stack.

Required profile

• Minimum 3 years of experience in data engineering or platform engineering.
• Strong SQL expertise and experience handling large datasets.
• Hands‑on experience with modern data‑stack tools (dbt, Snowflake, Azure or equivalent cloud platform).
• Proven ability to build ETL/ELT pipelines and apply dimensional data modelling.
• Familiarity with CI/CD processes and version control (Git).
• Strong problem‑solving skills and ability to work independently.

Required skills

• SQL
• dbt
• Snowflake
• Azure (or comparable cloud platform)
• ETL/ELT pipeline development
• Data modelling (dimensional)
• CI/CD concepts
• Git