Global Data Platform Engineer — Pipelines & Analytics

VAT Manufacturing Malaysia Sdn Bhd; Batu Kawan; On-site; MYR 120,000 - 180,000; Full time

Job summary

VAT Manufacturing Malaysia Sdn Bhd is seeking a Data Engineer to build and maintain data infrastructures powering analytics and BI solutions. You will work across data pipelines, integration of multiple sources, and storage solutions, ensuring scalable, reliable data for decision-making.

Required hands-on experience with Python/PySpark, SQL, data lakes/warehouses, and Power BI, in a multicultural, cross-functional environment.

Qualifications

• Minimum 3 years of experience as a Data Engineer or in a similar role focused on data infrastructure, pipelines, or platform engineering.
• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field — or equivalent professional experience.
• Experience in Power BI.
• Strong experience in building and maintaining data pipelines, including data ingestion, transformation, and orchestration.
• Solid understanding of data integration from multiple sources and ensuring data consistency and reliability.
• Experience with data storage solutions such as data lakes and data warehouses.
• Proficiency in Python, PySpark, or other programming languages used for data processing and orchestration.
• Proficiency in SQL for data querying, transformation, and performance optimization.
• Proficiency in monitoring and troubleshooting data systems, with a focus on performance and stability.
• Strong problem-solving skills and attention to detail.
• Ability to work independently and collaboratively in a cross-functional, multicultural team.
• Fluent in English, both written and spoken.
• Preferred Qualifications :
• Experience with Microsoft Fabric, Azure Synapse Analytics, or similar modern data platforms.
• Familiarity with CI/CD practices, version control (e.g. Git), and infrastructure-as-code tools.
• Knowledge of data governance, data quality frameworks, and compliance standards.
• Experience with monitoring and observability tools for data pipelines and infrastructure.
• Exposure to cloud-based architectures and services (e.g. Azure Data Lake, Azure Data Factory).
• Experience working in agile environments, applying Scrum methodology.
• Microsoft Certification: Fabric Data Engineer Associate (DP-700)

Responsibilities

• Develop, construct, and maintain robust and scalable data pipelines to support analytics and reporting needs across the organization.
• Integrate data from multiple sources, ensuring consistency, reliability, and alignment with business requirements.
• Design and manage data storage solutions, including data lakes and data warehouses, with a focus on scalability and performance.
• Optimize data processing and retrieval, ensuring efficient performance across the data platform.
• Implement and monitor data quality measures, ensuring accuracy, completeness, and consistency of data across systems.
• Monitor system performance, troubleshoot issues, and design improvements to enhance stability, reliability, and scalability.
• Collaborate with cross-functional teams, including analytics engineers, business analysts, and IT stakeholders, to deliver high-quality data solutions.

Skills

Power BI

Python

PySpark

SQL

Data pipelines

Data integration

Monitoring

English fluency

Education

Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field

Tools

Data lakes

Data warehouses

CI/CD

Git

Microsoft Fabric

Azure Synapse Analytics

Job description

VAT Manufacturing Malaysia Sdn Bhd is seeking a Data Engineer to build and maintain data infrastructures powering analytics and BI solutions. You will work across data pipelines, integration of multiple sources, and storage solutions, ensuring scalable, reliable data for decision-making.

Required hands-on experience with Python/PySpark, SQL, data lakes/warehouses, and Power BI, in a multicultural, cross-functional environment.