Cloud Data Analytics Engineer (GCP) Intern

Are you ready to get ahead in your career?

• We want to empower you to turn your ambitions into achievements.
• We thrive in inclusiveness, diversity and embrace close collaborations for you to create impact for yourself and others.
• Together, we aim to bring the best of technology to help people, businesses and the nation to be ahead in a changing world.
• To realise our vision to become Malaysia’s leading converged solutions company, we are looking for a new talent to innovate and grow with us in a culture that values commitment, performance and possibilities.

Why does this job exist and why is it critical?​

Join Maxis as a Cloud Data Analytics Engineer (GCP) Intern, where you will gain hands-on experience supporting cloud-based data engineering, analytics, and reporting initiatives. This role offers exposure to real-world data pipelines, data warehousing, and analytics solutions on Google Cloud Platform (GCP), while working closely with data engineers, analysts, and business stakeholders to deliver reliable and scalable data solutions in a dynamic environment.

Key Responsibilities

1. Data Ingestion & Pipeline Development

• Develop and maintain cloud-based data pipelines using Google Dataflow for data ingestion.

• Support ingestion of data into raw and processed layers to enable downstream analytics and reporting.

2. ETL / ELT & Data Warehousing

• Design and implement ETL/ELT processes across Zone 1 (Raw), Zone 2 (Processed), and data warehouse layers.

• Support foundational data warehouse setup and optimisation for analytics use cases.

3. Data Storage, Analytics & Visualisation

• Work with BigQuery and other GCP-native tools for data storage and analytics.

• Build, enhance, and maintain Power BI dashboards for business data visualisation and reporting.

• Support validation of data accuracy and consistency across reports.

4. Collaboration & Stakeholder Support

• Collaborate with data engineers, analysts, and business stakeholders to gather reporting requirements.

• Ensure data accessibility, reliability, and alignment with business needs.

5. Monitoring, Optimisation & Governance

• Monitor and optimise data workflows for performance and cost efficiency.

• Support data governance, quality checks, and security best practices across data pipelines.

Value-Added Project

The intern will have the opportunity to contribute to an ongoing data transformation programme, supporting initiatives such as:

• Development of new analytics and reporting solutions

• Foundational setup of data warehouse layers

• Enhancement of data pipelines and reporting structures

This exposure provides hands-on experience in enterprise-scale cloud data engineering and analytics transformation.

Preferred Skills / Qualifications

• Currently pursuing a Bachelor’s degree in Data Analytics, Computer Science, Information Systems, or a related field.

• Strong SQL skills with understanding of data modelling concepts.

• Background in development and exposure to big data technologies.

• Knowledge of Python or Java for data processing tasks.

• Familiarity with Google Cloud Platform (GCP) tools such as BigQuery or Dataflow is an advantage.

• Experience working in Agile/Scrum environments is preferred.

• Analytical, detail-oriented, and able to work collaboratively with cross-functional teams.

Why Join Us?

• Gain hands-on experience in cloud data engineering and analytics.

• Work with modern GCP tools and enterprise data platforms.

• Learn how data pipelines and analytics support business decision-making.

• Build a strong foundation for a career in data engineering, analytics, or cloud technologies.

Internship Duration

Starting March, up to 6 months.

Application Process

Please state your start and end date of your internship period on your CV and submit your application through our career portal. We look forward to welcoming motivated and data-driven individuals to our team!

What’s next?

• Once you’ve applied online, our team will carefully review your application. Due to a high volume of applications, we appreciate your patience to allow for a fair and timely review process.
• Should you be shortlisted for the role, we will send you an invitation via email for a digital interview. You can also check on your application status by logging into your candidate account.

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.