Salary
≈ $24k – $66k per year (Estimated)
Location
In office (Bangkok)
Confirmed on the employer's own hiring board on Sep 26, 2026. First seen by Alion on Sep 26, 2026.
Overview
Company
Impact
Profile match
SCG, also known as Siam Cement Group, is one of Southeast Asia's largest and oldest industrial conglomerates, operating core business units in cement and building materials, chemicals, and packaging. Headquartered in Bangkok, Thailand, the enterprise manufactures and distributes sustainable construction materials, packaging solutions, and specialized petrochemical products for global markets. By integrating clean energy technologies, low-carbon manufacturing, and circular economy practices across its operations, the organization drives regional infrastructure growth while advancing long-term sustainability goals.
Job Summary
Responsible for designing, constructing, and maintaining the data architecture and infrastructure that enable the storage, processing, and analysis of large volumes of data which requires a combination of technical skills and proficiency with various software tools to effectively manage and manipulate data.
Job Descriptions
- Data Pipeline Development : They design, construct, and maintain scalable data pipelines that collect, process, and distribute data across systems.
- Database Management : They manage databases and data warehouses, ensuring efficient data storage, retrieval, and security. This includes schema design, indexing strategies, and optimizing query performance.
- Data Integration: They integrate data from different sources and systems to provide unified views and ensure data consistency
- across the organization. This may involve designing APIs, implementing data synchronization processes
Qualifications
- Bachelor's degree in Computer Science, Computer Engineer , Data Engineering, or a related field. ( A minimum GPA of 2.70 for the Bachelor's degree and 3.30 for the Master's degree.)
- Good command of English, with a minimum TOEIC score of 550 or CEFR B1 level. Candidates without a valid English proficiency test score may take the assessment at a later stage.
- Experience in data engineering, ETL/ELT development, and data pipeline design.
- Strong SQL skills with knowledge of database management and query optimization.
- Hands-on experience with GCP and/or Azure data services.
- Proficiency in Power BI and containerization tools (e.g., Docker, Kubernetes).
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