Data Platform Engineer

Data Platform Engineer

Join our global team for a career filled with opportunities to solve challenges both small and large, local and global, simple and complex.

Wilhelmsen Ship Management is one of the world's largest third-party ship managers originated from Oslo, Norway with a portfolio of more than 450 vessels, a pool of more than 14,000 seafarers and over 900 shore-based employees all over the world. Our employees are working with a comprehensive global maritime group providing over half of the merchant fleet with essential products and services, along with supplying crew and technical management to the largest and most complex vessels ever to sail.

We offer a culture and vibrant work environment of strong leadership, collaborative, career development, work-life balance and a job that is both challenging and stimulating. All team members are empowered with the freedom to influence each other as long it complies with our Company's values and vision.

About the Role We are strengthening our data platform capabilities and are looking for a Data Platform Engineer to help 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. This role sits at the intersection of software engineering, data engineering, and platform thinking, working closely with product teams, analysts, and platform engineers.

Key Responsibilities

• Design, build, and maintain scalable data pipelines using modern tools (e.g., dbt, Snowflake, Azure)
• Develop and optimize data models for analytics and business use
• Own and improve data 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
• Work closely with product teams to support data-driven features and services
• Participate in the ongoing migration from legacy systems to modern data stack

Required Qualifications

• 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

Preferred Qualifications

• Experience with data platform architecture and design
• Familiarity with data governance and ownership models
• Experience with streaming or real-time data pipelines
• Knowledge of Infrastructure as Code (e.g., Terraform)
• Exposure to AI/ML pipelines or analytics engineering
• Experience working in product-oriented teams

What We Offer

• 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

Example challenges you'll work on:

• Designing a unified data model across fleet operations systems
• Migrating legacy ETL pipelines to dbt/Snowflake
• Building data products for predictive maintenance and vessel analytics
• Implementing data quality and ownership at scale

Location The position will be based in Kuala Lumpur office located at KL Sentral which is a strategic work location with convenience travelling by Monorail, Rapid Kelana Jaya Line, MRT and KTM services as well as easy to get to go by public transportation.

What we offer

• 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)

*Only shortlisted candidates will be contacted