Overview
Join our team as an Enterprise Systems & Data Engineering Intern and gain hands-on experience supporting and improving enterprise applications and data platforms. You’ll work with systems such as SAP SuccessFactors, corporate web platforms, and Big Data ETL pipelines, contributing directly to HR transformation initiatives and data-driven business operations.
What You'll Get Out of This Internship
- Practical experience with enterprise systems and integration projects
- Exposure to Big Data ETL processes and analytics pipelines
- Opportunity to collaborate with cross-functional teams and external vendors
- Mentorship from experienced IT and data professionals
- Contribution to projects that impact HR operations and business decisions
Key Responsibilities
- Assist in troubleshooting and maintaining enterprise applications, including SAP SuccessFactors
- Work with internal teams, vendors, and system integrators to ensure smooth system integration
- Participate in developing, testing, and deploying ETL jobs for operational and analytical reporting
- Monitor and resolve data loading issues across systems
- Document configurations, processes, and solutions for team knowledge sharing
- Support system enhancements to improve efficiency and align with business goals
Requirements
- Currently pursuing a Bachelor’s degree in Computer Science, IT, Software Engineering, or related fields
- Strong problem-solving skills and attention to detail
- Interest in enterprise systems, data platforms, and process automation
- Good communication skills and ability to collaborate in a team environment
- Self-motivated and eager to learn in a fast-paced work setting
Who This Internship Is Ideal For
Students passionate about IT systems, data engineering, and business technology who enjoy hands-on learning and problem-solving in a collaborative environment.
About the Company
We are a forward-thinking organization leveraging technology to enhance business operations and HR processes. By integrating enterprise applications and advanced data platforms, we enable more efficient workflows, informed decision-making, and continuous digital transformation.
Internship Details
Location: Singapore
Duration: 3–6 months
Commitment: Full-time preferred
Working Arrangement: Onsite
Stipend: Provided
Application Deadline: Rolling
