Data Engineer Lead
Regional Container Lines Public Company Limited (Yan Nawa)
Yan Nawa
Bangkok,
Thailand
Regional Container Lines (RCL) started as a Common Feeder Operator, operating its first feeder container ship in 1979 between Bangkok and Singapore.
In 1988, RCL was listed on the Stock Exchange of Thailand, and has since achieved satisfactory performance and financial returns to shareholders.
Presently, RCL owns and operates 40 container vessels covering more than 60 destinations in Asia, Australasia and the Middle East.
RCL will increasingly expand its feeder services and container liner business in Asia through the provision of high quality container shipping services with reliable fix day sailings, fast transit, the deployment of modern and high specification container ships and customer service information technology.
RCL fleet size ranges from 500 TEUs to 2,732 TEUs. Strict manning and maintenance standards for the entire RCL fleet are provided by experienced technical team in RCL Shipmanagement, a subsidiary of RCL. The ship management company and the entire RCL owned fleet have achieved ISM certification since 1998, well ahead of the mandatory 2002 ISM deadline.
About this position
The Data Engineer Lead is responsible for designing, implementing, and optimizing scalable data pipelines, as well as managing a team to ensure data quality and efficiency.
Responsibilities
• Design, implement and optimize scalable data pipelines Developing and maintaining datasets.
• Develop and maintain data warehousing solutions.
• Build and manage automated ETL processes.
• Ensure accuracy and efficiency in data movement.
• Enforce data quality, security, and compliance policies.
• Optimize systems for performance and cost efficiency.
• Keep all documentation up-to-date and accessible.
• Foster a culture of continuous learning and improvement.
• Manage and guide team members in developing data.
Requirements
• Bachelor’s or master’s degree in computer engineering, or a related field.
• Minimum of 5 years of experience in data engineering or a related field.
• Proven experience in leading and manage teams for at least 1-2 years.
• Extensive experience with Azure Synapse Analytics and other Azure data services (e.g., Azure Data Factory, Azure Databricks, Azure SQL Database).
• Good command of English, both written and spoken (TOEIC 600 or above).
