Data Engineer

VAT Vakuumventile AG; Batu Kawan; On-site; MYR 80,000 - 110,000; Full time

Job summary

A leading international manufacturer in Penang is seeking a Data Engineer to build and maintain data infrastructure for analytics solutions. The role involves developing data pipelines, integrating data sources, and ensuring data quality. The ideal candidate has at least 3 years of experience in data engineering and is proficient in Python, SQL, and data storage solutions like data lakes. This position offers opportunities for career and personal development in a dynamic global IT team.

Benefits

Career development opportunities

Diversity and inclusion training

Equal pay for equal work certification

Qualifications

• Minimum 3 years of experience as a Data Engineer or similar.
• Fluent in English, both written and spoken.
• Solid understanding of data integration from multiple sources.

Responsibilities

• Develop and maintain data pipelines for analytics.
• Integrate data from multiple sources.
• Optimize data processing and retrieval.

Skills

Data pipeline development

Data integration

SQL proficiency

Python proficiency

Problem-solving skills

Attention to detail

Education

Bachelor’s degree in Computer Science or related field

Tools

PySpark

Microsoft Fabric

Azure Synapse Analytics

Job description

Select how often (in days) to receive an alert:

Innovation, Efficiency and Ambition: this is what VAT has stood for over 50 years.

With this passion, VAT has grown to become the leading international developer, manufacturer and supplier of high-performance high-end vacuum valves and vacuum sealing technology, employing over 2000 people worldwide. The headquarters are located in Haag (Switzerland), the production centers in Switzerland, Malaysia, Romania and Taiwan.

Data 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 spanning Romania, 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.

Your responsibilities include, but not limited to:

• 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 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.
• 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)

VAT is an equal opportunity employer. We see ourselves as a responsible and far-sighted employer that offers not only jobs, but also career and personal development opportunities through various training programs. We recognize the value of employee diversity and provide equal employment opportunity for all qualified application that contributes to innovation, improves customer orientation and employee satisfaction. One-step in this direction is to ensure that people are recognized and fairly compensated for their contributions to the company. In 2021, VAT received the Fair-ON-Pay+ certificate as an acknowledgement for our commitment in ensuring equal pay for equal work between men and women.