Data Engineer

Data Engineer

Job ID: 8X99767V

Location: KLIA, Sepang, Selangor

Work Mode: Onsite

Employment Type: Contract

Contract Duration: 6 months, extendable based on performance and project needs

Preferred Joiner: Immediate to 30 days preferred

Visa Sponsorship: Not available

Important Eligibility Notice

• Candidates must be available to join immediately or within 30 days.
• This role is open only to candidates who already have valid Malaysian work authorisation.
• Overseas applicants and expatriate candidates requiring visa sponsorship are not eligible for this position.
• Applications requiring an Employment Pass or visa sponsorship will not be considered.

About the Client

Our client is a leading digital and aviation-related organisation with a strong regional presence across Southeast Asia. The company is highly data-driven and uses modern cloud, data, and analytics platforms to support large-scale business and product initiatives.

Role Overview

We are seeking a Data Engineer to build, maintain, and optimise scalable data pipelines that support enterprise data, analytics, and business intelligence initiatives.

Responsibilities

• Develop, maintain, and optimise scalable data pipelines.
• Build and support ETL/ELT workflows from multiple data sources.
• Ensure data integrity, accuracy, and quality across pipelines and datasets.
• Work with cloud-based data services, particularly within the Google Cloud Platform (GCP) ecosystem.
• Develop and schedule workflows using Apache Airflow.
• Support containerised deployments and orchestration using Kubernetes.
• Maintain source code and version control using GitLab or GitHub.
• Write, optimise, and troubleshoot SQL queries.
• Collaborate with Product, Business, and Analytics stakeholders to deliver data solutions.
• Support data migration, data warehousing, and transformation initiatives.
• Assist with API development and CI/CD pipeline activities where required.
• Maintain technical documentation, code reviews, and engineering best practices.

Requirements

Must-have

• Bachelor's, Master's, or PhD in IT, Mathematics, Science, Engineering, or a related discipline.
• Minimum 2–4 years of hands-on experience in Data Engineering.
• Strong experience with Google Cloud Platform (GCP).
• Strong experience in ETL/ELT development.
• Good programming skills in Python.
• Hands-on experience with Apache Airflow for workflow orchestration.
• Exposure to Kubernetes.
• Experience using GitLab and/or GitHub for source code management.
• Strong working knowledge of SQL.
• Familiarity with data pipeline and workflow management tools.
• Good understanding of data quality, data integrity, and data transformation processes.

Nice-to-have

• Familiarity with containerisation and orchestration technologies.
• Exposure to NoSQL databases.
• Understanding of distributed computing principles.
• Working knowledge of G Suite, Jira, and Confluence.
• Ability to work under pressure and adapt to changing priorities.
• Openness to learning new technologies and modern engineering practices.
• Exposure to data migration, data warehousing, API development, and CI/CD pipelines.

Why Join Us

• Opportunity to work on large-scale cloud and data engineering projects within a leading aviation and digital organisation.
• Exposure to modern technologies including Google Cloud Platform, Apache Airflow, Kubernetes, and enterprise-scale data platforms.
• Collaborate with experienced Product, Business, Analytics, and Engineering teams on impactful projects.
• Contract extendable based on performance and project requirements, with opportunities to work on cutting-edge data initiatives.

Interested?

If you meet the above requirements and are available to join immediately or within 30 days, we'd love to hear from you.

Interested candidates can reach out to:

Email: [email protected]

WhatsApp: +60 11-6411 1889

Apply Here: