Data Engineer

VAT Vakuumventile AG; Batu Kawan; On-site; MYR 90,000 - 150,000; Full time

Job summary

VAT Vakuumventile AG seeks a Data Engineer – Data Quality and Governance to build and maintain data pipelines, implement data quality frameworks, and deploy a data catalog to empower analytics, AI, and governance across the organization.

You will work with teams across Sales & Operations Planning, Supply Chain Management, Manufacturing, HR and IIoT, applying Microsoft Fabric, Purview, Power BI and Power Automate in a hands-on delivery role requiring strong technical skills.

Qualifications

• Minimum 3 years of experience as a Data Engineer or in a similar role
• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field
• Strong experience in building and maintaining data pipelines, including ingestion, transformation, orchestration, and automation
• Experience with data storage solutions such as data lakes and data warehouses
• Proficiency in SQL for data querying and optimization
• Proficiency in Python, PySpark, or similar languages for data processing
• Knowledge of data governance, data quality frameworks, and compliance
• Familiarity with Microsoft Purview and metadata management
• Ability to implement data lineage, classification, and governance workflows
• Familiarity with Microsoft ecosystem (Fabric, Purview, Power BI, Power Automate) and Azure

Responsibilities

• Implement and maintain Data Quality frameworks with rule execution, monitoring, and automation
• Deploy and maintain Data Catalog infrastructure (e.g., Microsoft Purview) including metadata management and lineage
• Develop reusable ETL and governance automation frameworks (RBAC/ABAC)
• Optimize data processing across the data platform and governance tools
• Develop robust and scalable data pipelines for analytics, reporting, and governance
• Integrate data from multiple sources ensuring consistency and compliance
• Design and manage data storage solutions (data lakes and data warehouses) for scalability and performance
• Monitor system performance, troubleshoot issues, and improve stability
• Explore AI-driven capabilities for cataloging and data quality automation
• Collaborate with analytics engineers, business analysts, and stream leads to deliver governed data solutions

Skills

Data engineering

SQL

Python

PySpark

Data governance

ETL

RBAC/ABAC

Azure

Power BI

Power Automate

Microsoft Fabric

Data quality

Education

Bachelor's degree in Computer Science

Tools

Microsoft Purview

Job description

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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.

As aData Engineer – Data Quality and Governance, you will play a key role in building and maintaining the data infrastructure and governance solutions that enable analytics, AI, and business transformation at VAT. Your work ensures that data is accessible, reliable, and governed—empowering teams across the organization to make informed, data-driven decisions.

You will be part of a global IT team spanning Malaysia, Switzerland, and Romania, collaborating across time zones and disciplines. Your focus will include developing robust data pipelines, implementing data quality frameworks, deploying a data catalog, and supporting governance principles across multiple business streams (e.g., Sales & Operations Planning, Supply Chain Management, Manufacturing, Human Resources, Connected Machines, IIoT). This is a hands-on delivery role, requiring strong technical skills and versatility to work on evolving tools and topics such as Microsoft Fabric, Purview, Power BI, Power Automate, and future AI-driven solutions.

Yourresponsibilities include, but not limited to -

• Implement and maintain Data Quality frameworks, including rule execution, monitoring, and automation to ensure accuracy, completeness, and consistency.
• Deploy and maintain Data Catalog infrastructure (e.g., Microsoft Purview), including metadata management, lineage tracking, and classification.
• Develop reusable frameworks for ETL, governance automation, and responsibility assignment (RBAC/ABAC).
• Optimize data processing and retrieval, ensuring efficient performance across the data platform and governance tools.
• Develop, construct, and maintain robust and scalable data pipelines to support analytics, reporting, and governance needs across the organization.
• Integratedata from multiple sources, ensuring consistency, reliability, and alignment with business and governance requirements.
• Design and manage data storage solutions, including data lakes and data warehouses, with a focus on scalability, performance, and compliance.
• Monitor system performance, troubleshoot issues, and design improvements to enhance stability, reliability, and scalability.
• Explore AI-driven capabilities for cataloging and data quality automation and ensure data readiness for AI use cases.
• Collaborate with cross-functional teams, including analytics engineers, business analysts, and stream leads (S&OP, SCM, Manufacturing, HR, IIoT), to deliver high-quality, governed data solutions

Required Qualification :

• Minimum 3 years of experience as a Data Engineer or in a similar role focused on data infrastructure, governance, pipelines, or platform engineering.
• Bachelor’s degree inComputer Science, Information Systems, Data Engineering, or a related field — or equivalent professional experience.
• Strong experience inbuilding and maintaining data pipelines, including ingestion, transformation, orchestration, and automation.
• Solid understanding ofdata integration from multiple sources, ensuring consistency, reliability, and compliance with governance principles.
• Experience withdata storage solutions such as data lakes and data warehouses, with a focus on scalability and performance.
• Proficiency inSQL for data querying, transformation, and optimization.
• Proficiency inPython, PySpark, or similar languages for data processing and orchestration.
• Knowledge ofdata governance principles, data quality frameworks, and compliance standards.
• Familiarity withData Catalog tools (e.g., Microsoft Purview) and metadata management practices.
• Ability to implement and maintaindata lineage, classification, and governance workflows.
• Ability toimplement and monitor data quality measures, metadata management, and lineage tracking.
• Familiarity withMicrosoft ecosystem (Fabric, Purview, Power BI, Power Automate) and cloud platforms (Azure preferred).
• Fluent inEnglish, both written and spoken

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.