Data Engineer (Team Lead)

Regional Container Lines Public Company Limited

Regional Container Lines Public Company Limited (Bangkok, Bangkok City, Thailand)

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 (Team Lead) will be responsible for designing, implementing, and optimizing scalable data pipelines, as well as leading a team in data engineering efforts.

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.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related field.
• Minimum of 5 years of experience in data engineering or a related field.
• Proven experience in leading and managing data engineering teams.
• Extensive experience with Azure Synapse Analytics and other Azure data services (e.g., Azure Data Factory, Azure Databricks, Azure SQL Database).
• Strong knowledge of data modeling, ETL processes, and data warehousing concepts.
• Proficiency in SQL, Python, or other programming languages commonly used in data engineering.
• Experience with big data technologies and frameworks (e.g., Hadoop, Spark).
• Familiarity with data visualization tools (e.g., Power BI, Tableau) is a plus.
• Understanding of DevOps practices and CI/CD pipelines for data engineering.
• Excellent leadership and team management skills.
• Good command of English, both written and spoken.