Data Engineer

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

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.

Yourresponsibilitiesinclude, but not limited to -

Develop, construct, and maintainrobust 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)

Unlock job insights

Hirer responsiveness Salary match Number of applicants

Your application will include the following questions:

• Which of the following statements best describes your right to work in Malaysia?
• What's your expected monthly basic salary?
• Which of the following types of qualifications do you have?
• How many years' experience do you have as a Data Engineer?
• How many years' experience do you have using SQL queries?
• Which of the following programming languages are you experienced in?
• Which of the following languages are you fluent in?
• How much notice are you required to give your current employer?

Machinery & Automation 101-1,000 employees

VAT, founded in Switzerland in 1964, is a high-tech company which designs and manufactures vacuum valves for a wide range of industrial and research applications.

We change the world with vacuum solutions – that is our purpose as the world’s leading supplier of high-end vacuum valves. The VAT Group reports in two segments: Valves and Global Service.

The Valves segment is a global developer, manufacturer and supplier of vacuum valves for the semiconductor, displays, photovoltaics and vacuum coating industries as well as for the industrial and research sector. Global Service provides local expert support to customers and offers genuine spare parts, repairs and upgrades.

VAT reported net sales of CHF 1,145 million in 2022 and employs some 3,000 people worldwide, with representatives in 29 countries and manufacturing sites in Switzerland, Malaysia, and Romania.

For more information, please visit: www.vatvalve.com

VAT, founded in Switzerland in 1964, is a high-tech company which designs and manufactures vacuum valves for a wide range of industrial and research applications.

We change the world with vacuum solutions – that is our purpose as the world’s leading supplier of high-end vacuum valves. The VAT Group reports in two segments: Valves and Global Service.

The Valves segment is a global developer, manufacturer and supplier of vacuum valves for the semiconductor, displays, photovoltaics and vacuum coating industries as well as for the industrial and research sector. Global Service provides local expert support to customers and offers genuine spare parts, repairs and upgrades.

VAT reported net sales of CHF 1,145 million in 2022 and employs some 3,000 people worldwide, with representatives in 29 countries and manufacturing sites in Switzerland, Malaysia, and Romania.

For more information, please visit: www.vatvalve.com