Data Engineer

Oxydata Software Sdn Bhd; Sepang; On-site; MYR 100,000 - 167,000; Full time

Job summary

Oxydata Software Sdn Bhd, a leading client in digital and aviation-focused data initiatives, seeks a Data Engineer to build, maintain, and optimise scalable data pipelines that support enterprise data, analytics, and business intelligence initiatives.

You will develop ETL/ELT workflows from multiple data sources, ensure data integrity, work with cloud-based services (GCP), Airflow, and Kubernetes, and collaborate with Product, Business, and Analytics teams to deliver data solutions.

Qualifications

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

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.

Skills

GCP

ETL/ELT development

Python

Apache Airflow

Kubernetes

GitLab/GitHub

SQL

Data quality

Data integrity

Education

Bachelor's/Master's/PhD in IT/CS/Math/Eng

Tools

GitLab/GitHub

NoSQL databases

G Suite/Jira/Confluence

Job description

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.

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.