Closing Date : 30/11/2025

Internship - Data Engineer  

** For registered candidates, please login to apply

Life at U Mobile

We are Passionate, Innovative, Trustworthy, Team-Oriented & Fun-Loving.

At U Mobile, we are always on the lookout for great talents and passionate individuals to join our growing team.
Let’s start your journey with an award-winning organization!

#UnbeatableCareerAwaits

Top Reasons To Join Us!
•  Awarded For
    o Most Preferred Employers in Telecommunication Industry (2022, 2023 & 2024)
    o Bronze Winner in Cross-Generational Workforce Engagement (2024)
    o Gold Winner for Excellence in Workplace Culture (2021)
•  Comprehensive medical, dental, optical and insurance benefits
•  Flexi working hours arrangements
•  Staff Line & Device Subsidy
•  Smart Casual Attire
•  Child Parental Care Leave
•  Convenient location with access to public transport (Imbi Monorail/Bukit Bintang MRT)
•  Special employee discounts for selected F&B Brands

Role


The Day-To-Day Activities
We are looking for a motivated and detail-oriented Data Engineer Intern to join our team. As an intern, you will work closely with experienced data engineers to support the development, maintenance, and optimization of data pipelines and infrastructure. This is a hands-on opportunity to gain real-world experience in data engineering and analytics within the Finance Department, collaborating directly with finance business users to deliver actionable insights and solutions.

Key Duties & Responsibilities:
• Assist in building, testing, and maintaining scalable data pipelines using tools like SQL, Python, and cloud services.
• Support data ingestion and transformation from various structured and unstructured data sources.
• Help optimize existing data workflows for performance and reliability.
• Participate in database and data warehouse design activities.
• Work with cross-functional teams (Data Analysts and Business User) to understand data requirements.
• Document processes, data flows, and technical specifications.

About You

  • Currently pursuing a degree in Computer Science, Data Engineering, Information Systems, or a related field.
  • Basic understanding of ETL processes and data warehousing concepts.
  • Strong foundation in SQL and at least one programming language (Python preferred).
  • Excellent problem-solving and communication skills. Eagerness to learn and work in a collaborative team environment.

#LI-PZ1


What’s Next ?
Once you have applied online, our team will review your application and due to a high volume of applications, only shortlisted candidates will be notified.