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.

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

About Us

Wilhelmsen Ship Management is one of the worlds largest third-party ship managers originated from Oslo Norway with a portfolio of more than 450 vessels a pool of more than 14000 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 Companys 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 youll 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 Malaysias 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

Become a valued member of our team where every day presents new opportunities for learning and development. Sound interesting Click APPLY now to embark on a rewarding career journey!

Please note that all positions at Wilhelmsen are subject to reference and ID checks. For certain roles additional background screening may be required.

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