Data Engineer

VAT Group; Seberang Perai; On-site; MYR 90,000 - 170,000; Full time

Job summary

VAT Group is seeking a Data Engineer to build and maintain scalable data pipelines powering analytics and BI solutions. You will ensure data is accessible, reliable, and performant for cross-functional teams across our global IT footprint in Romania, Switzerland, and Malaysia.

The role emphasizes developing robust pipelines, data integration, and storage design with a focus on quality and scalability. Strong Python, PySpark, and SQL skills are required, plus Power BI experience and English

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field.
• 3+ years in data engineering or data infrastructure roles.
• Experience with Power BI and data pipelines, ingestion, transformation, and orchestration.
• Experience with data lakes/warehouses and multi-source data integration.
• Proficiency in Python, PySpark, SQL.
• Experience with monitoring and troubleshooting data systems.

Responsibilities

• Develop, construct, and maintain robust data pipelines for analytics.
• Integrate data from multiple sources ensuring consistency and reliability.
• Design and manage data storage solutions (data lakes/warehouses).
• Optimize data processing and retrieval for performance.
• Implement and monitor data quality and system reliability.
• Collaborate with analytics engineers, business analysts, and IT stakeholders.

Skills

Power BI

Python

PySpark

SQL

Data pipelines

Data integration

Data storage

Monitoring

Troubleshooting

Education

Bachelor's degree in Computer Science/Information Systems/Data Engineering

Tools

Microsoft Fabric

Azure Synapse Analytics

CI/CD (Git)

Job description

Jora Malaysia will close on 9th September 2026. Thank you for being with us, we are cheering you on as you continue your career journey.

As aData Engineer, you will be responsible for building and maintaining the data infrastructure that powers VAT's analytics and business intelligence solutions. Your work ensures that data is accessible, reliable, and performant - enabling teams across the organization to make informed, data-driven decisions.

You will be part of a global IT team spanningRomania, Switzerland and Malaysia, collaborating across time zones and disciplines. Your focus will be on developing robust data pipelines, integrating diverse data sources, and optimizing data storage and processing systems to support scalable and high-quality analytics solutions.

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.

Required Qualification

• 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 inPython,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 withMicrosoft Fabric,Azure Synapse Analytics, or similar modern data platforms.
• Familiarity withCI/CD practices, version control (e.g. Git), and infrastructure-as-code tools.
• Knowledge ofdata governance, data quality frameworks, and compliance standards.
• Experience withmonitoring and observability toolsfor data pipelines and infrastructure.
• Exposure tocloud-based architecturesand services (e.g. Azure Data Lake, Azure Data Factory).
• Experience working inagile environments, applyingScrum methodology.
• Microsoft Certification: Fabric Data Engineer Associate (DP-700)