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Why does this job exist and why is it critical?
Location: Menara Maxis
Internship Period: Up to 6 months starting January 2026
Role Overview
We are looking for a Data Engineering Intern who is passionate about data workflows, analytics, and automation. In this role, you will support the development and maintenance of data pipelines, help improve data quality, and contribute to dashboards and automation tools that drive business and network insights. This is a hands-on opportunity to gain real-world experience in data engineering while collaborating with experienced data and network teams.
Key Responsibilities
Assist in developing and maintaining data pipelines and workflows.
Perform data cleaning, validation, and transformation to ensure high-quality datasets.
Support the creation and enhancement of dashboards using tools such as Power BI or Tableau.
Develop simple automation scripts to streamline processes and improve efficiency.
Prepare clear documentation for data processes, pipelines, and projects.
Collaborate with analytics and network teams to support ongoing data engineering initiatives.
Value-Added Project
You will have the opportunity to work on a dedicated project focused on enhancing our data engineering and analytics workflow. This project aims to improve how data is processed and utilized to generate meaningful business and network insights.
Preferred Skills & Qualifications
Currently pursuing a Diploma or Bachelor's degree in Data Science, Computer Science, IT, Engineering, or related fields.
Knowledge of SQL and basic Python programming.
Experience with dashboarding tools such as Power BI or Tableau.
Understanding of data pipelines, ETL/ELT processes, or data workflow concepts.
Strong analytical and problem-solving skills.
Good communication skills and a keen interest in data engineering.
Application Process
Submit your resume through our career portal and indicate your availability period.
What’s next?
Maxis values diverse voices & people. We hire and reward our employees based on capability & performance — regardless of ethnicity, gender, age, education, religion, nationality or physical ability.