Intern, Data Engineer

We’re looking for a Data Engineer Intern to join our IT team in Singapore, where you’ll gain hands-on experience building and supporting reliable data pipelines, data integrations, and data platforms that enable trusted reporting, automation, analytics, and AI initiatives across the organization.

What You’ll Do?

• Assist in building, testing, and maintaining data pipelines for extracting and transforming data from multiple source systems.
• Support data ingestion, validation, and quality checks to ensure data is accurate and reliable.
• Help maintain data warehouse tables, data models, and curated datasets used for reporting and analytics.
• Work with data analysts, data scientists, and IT teams to understand technical data requirements.
• Assist in automating data workflows, scheduled jobs, and recurring data processing tasks.
• Support troubleshooting of pipeline failures, data load errors, and data quality issues.
• Gain exposure to database management, data integration, data quality monitoring, query optimization, and performance tuning practices.
• Document data flows, source-to-target mappings, and pipeline logic for knowledge sharing and maintainability.
• Explore new tools and technologies that can improve data engineering, data automation, platform reliability, and analytics readiness.

What We’re Looking For?

• Currently pursuing a Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Software Engineering, or a related technical field.
• Basic experience with SQL and at least one programming language, such as Python, Java, Scala, C#, or C++.
• Interest in databases, data warehousing, ETL/ELT processes, data pipelines, batch processing, and enterprise data platforms.
• Basic understanding of data modelling, data integration, data quality checks, and source-to-target data mapping concepts.
• Good analytical and technical problem-solving skills, with strong attention to data accuracy and reliability.
• Willingness to learn data engineering tools, automation practices, database optimization, and platform reliability best practices.
• A proactive team player who can communicate technical concepts clearly and work collaboratively with data analysts, data scientists, and IT teams.

Why This Role?

• Gain practical experience building and supporting the data pipelines, integrations, and warehouse structures that form the foundation of enterprise analytics and AI initiatives.
• Work with a dynamic, innovative team on real-world data engineering, automation, and platform reliability improvement initiatives.
• Be part of a forward-thinking environment that values technical learning, reliable data foundations, and continuous improvement.