Data Engineering 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 Data Engineer Intern, where you will gain hands-on experience in supporting cybersecurity and vulnerability management through data engineering, automation, and analytics. This role offers exposure to real-world security datasets, configuration management databases (CMDB), and risk assessment workflows while working closely with cybersecurity and network operations teams in a fast-paced environment.

Key Responsibilities

1. Vulnerability & Asset Data Analysis

• Query and analyse vulnerability scan results from tools such as Tenable.

• Extract and review Configuration Item (CI) inventory data from the CMDB.

• Perform automated reconciliation between vulnerability data and CMDB records.

2. Data Reconciliation & Quality Assessment

• Identify and document discrepancies between vulnerability findings and CMDB assets.

• Classify mismatches based on data accuracy, asset criticality, and completeness.

• Support continuous improvement of data integrity across security systems.

3. Risk Assessment & Criticality Analysis

• Assist in identifying:

  • Critical risks: Production assets with Critical/High vulnerabilities and missing CMDB records.

  • High risks: Mismatched asset criticality affecting SLA compliance.

  • Medium risks: Outdated or incomplete CMDB attributes.

  • Low risks: Minor metadata inconsistencies.

• Support trend analysis to identify recurring patterns in data misalignment and criticality issues.

4. Automation & Generative AI Support

• Support the use of Gemini Generative AI for:

  • Natural language queries for operations reporting.

  • Automated reporting and insights generation.

• Assist in remediation action workflows by translating findings into actionable outputs.

5. Documentation, Reporting & Insights

• Maintain documentation, dashboards, and analytical reports.

• Support stakeholders with data-driven insights for vulnerability management and risk prioritisation.

Automate Internal Vulnerability Signature Management
The intern will contribute to a value-added project focused on automating internal vulnerability signature management to improve data accuracy, reduce manual effort, and strengthen the organisation’s overall security posture.

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

• Strong skills in Python and SQL scripting.

• Basic understanding of:

  • Databases and data pipelines

  • Vulnerability management and cybersecurity concepts (an advantage)

• Ability to analyse large datasets and identify patterns or anomalies.

• Strong analytical, problem-solving, and attention-to-detail skills.

• Proactive, structured, and eager to learn in a technical environment.

• Good communication skills and ability to work collaboratively with cross-functional teams.

• Gain practical experience in data engineering within a cybersecurity context.

• Work with real-world vulnerability and asset management datasets.

• Learn automation, analytics, and AI-assisted reporting in an enterprise environment.

• Build a strong foundation for a career in data engineering, cybersecurity analytics, or security operations.

Internship Duration: From September, up to 6 months
Location: Sg. Besi

Submit your resume and cover letter through our career portal. We look forward to welcoming motivated and curious 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.