402 Data Engineering jobs in Malaysia

Strategic Execution & CDO Office Leadership Serve as the right hand to the Group CDO, enabling strategic alignment and delivery of key initiatives across the CDO Office. Lead the data strategy execution office (PMO), including managing program governance, OKRs, reporting, budgets, and cross-functional dependencies. Coordinate with internal and external stakeholders including business units, IT, Legal, Risk, and regulators. Manage internal communications, workshops, dashboards, and progress reporting for all data initiatives. Support headcount planning, recruitment, and onboarding within the CDO Office. Run cadence for data councils, working groups, and governance boards. Enterprise Data Architecture & Engineering Leadership Lead the design and implementation of enterprise-wide data architecture, including data lakes, warehouses, pipelines, and APIs. Ensure that data infrastructure supports the needs of BI, analytics, AI, governance, and regulatory compliance. Standardize data integration processes (ETL/ELT) across the organization to ensure data quality, timeliness, and security. Define reference architecture, data models, and metadata practices aligned with enterprise architecture standards. Collaborate with IT, cybersecurity, and cloud teams to ensure scalable and secure platform operations. Evaluate and recommend modern data platforms and tools (e.g., Azure Synapse, Databricks, Snowflake, Apache Airflow, etc.). Provide architecture leadership in key projects, including cloud migration, data mesh/hub, and AI/ML ops. Job Requirements: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Management, or related field. 10+ years of experience in enterprise data architecture, data engineering, or digital/data program delivery. Strong understanding of modern data architecture, including cloud-native design, data lakes, warehouses, pipelines, and APIs. Experience running or supporting data PMO, strategic planning, and cross-functional stakeholder management. Excellent leadership, communication, and organizational skills, with the ability to manage priorities in a high-growth, regulated environment. Experience with regulatory requirements in financial services such as BNM standards, PDPA 2024, Cybersecurity Act, etc. Familiarity with data platforms such as Azure, Snowflake, Databricks, and MDM tools. Considerable experience in consulting, particularly in data management and enterprise-level program or portfolio management. Seniority level

Mid-Senior level Employment type

Full-time Job function

Information Technology

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Data Engineer page is loaded# Data Engineerlocations: Malaysia - Johortime type: Full timeposted on: Posted 3 Days Agojob requisition id: R4836Brooks is a leading provider of automation solutions with over 40 years of experience in the semiconductor industry, offering precision robotics, integrated automation systems, and contamination control solutions that empower chip manufacturers worldwide. Our product portfolio includes a range of automation solutions, including robots, vacuum systems, and atmospheric robots for semiconductor manufacturing (). Data Engineer# **Job Description**• Proven analytical and problem-solving skills. • Proficient with SQL as a tool to solve problems, analyze data, create ad hoc reports and test. • Nice to have knowledge of Oracle ERP Order management • Should have hands on experience on ETL tools like SSIS/Informatica Cloud • Strong oral and written communication skills. • Proficient with Power BI/Tableau BI tools • Ability to work in a team environment. • Proficient in prioritizing, multi-tasking and managing multiple projects. • Proven independent worker with strong organizational and time management skills. • Flexible and can adapt to change.What you’ll bring: 5 to 10 Years’ experience as Data Engineer Bachelor of Science in Computer Engineering or Information Systems**Work Location & Flexibility** At Brooks, we aim to foster a collaborative and engaging environment while offering flexibility where possible. Work arrangements may include a mix of in-office and remote work, depending on the nature of the role and business needs. Specific expectations will be shared during the interview process.Brooks is committed to fostering a diverse and inclusive workplace and proudly serves as an equal-opportunity employer. We welcome all qualified applicants regardless of race, color, religion, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other legally protected characteristics. Diversity enhances our innovative capabilities and strengthens our ability to serve our customers and communities effectively. At Brooks Automation, we celebrate the unique experiences and perspectives each individual brings, believing they are essential to our collective success. Join us in building a workplace where every team member is valued and can thrive. For applicants with disabilities requiring accommodations, don't hesitate to get in touch with or call to discuss your needs.# Since our founding in 1978, Brooks Automation has been a leading automation provider and trusted partner to the global manufacturing industry.# Our customers choose the Brooks Automation platform because we consistently deliver best-in-class reliability and cost of ownership, with a solution that is optimized for value within their application. We deliver value through our understanding of the application challenge, providing solutions at scale that create an automated advantage for our customers.# We are committed to innovation by continuously developing new product offerings and partnering with our customers to integrate solutions for their manufacturing process tools. This benefits our customers with improved throughput and yield and a lower cost of ownership.
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Overview

Brooks is a leading provider of automation solutions with over 40 years of experience in the semiconductor industry, offering precision robotics, integrated automation systems, and contamination control solutions that empower chip manufacturers worldwide. Our product portfolio includes a range of automation solutions, including robots, vacuum systems, and atmospheric robots for semiconductor manufacturing (

With headquarters in Chelmsford, Massachusetts, Brooks Automation operates globally, serving customers in key markets around the world. We have a significant presence in semiconductor manufacturing and life sciences industries across regions in North America, Europe & Asia.

About the Role

The Data Engineering Analyst at Brooks is responsible for developing and optimizing data pipelines and architectures to support advanced analytics and data science initiatives. This role will be working closely with cross-functional teams to ensure our data infrastructure aligns with business objectives and provides actionable insights. As the pioneer member of the Data Analytics team in the region, you will be responsible for maintaining robust data pipelines and infrastructure to support analytics and reporting needs. This role involves ensuring data integrity, optimizing data workflows, and collaborating with stakeholders to enable data-driven decision-making across the organization.

Work Location : Onsite - Johor Bahru, Malaysia.

Key Responsibilities

• Design, Build, and Maintain Data Pipelines: Ensure data quality and integrity across multiple data sources
• Collaborate with Data and Business Analysts: Support data-driven insights by integrating data from various sources
• ETL Processes: Implement and optimize ETL processes for various data environments
• Data Warehousing: Maintain and improve data warehousing solutions
• Performance Monitoring: Manage and monitor data infrastructure performance
• Documentation: Document data engineering processes and best practices
• Any other duties as assigned.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field
• Minimum 5+ years of experience in data engineering or a related role
• Key Technical Skills: Proven experience with SQL, Informatica IDMC platform
• Strong understanding of data warehousing concepts like STAR schema, Analytical databases like AWS Redshift, Data Quality, Data Lineage etc.
• Cloud Platforms: Experience with cloud data platforms such as AWS or Azure
• Problem-Solving: Excellent problem-solving skills and attention to detail
• Communication: Strong communication and collaboration skills

Work Location & Flexibility

At Brooks, we aim to foster a collaborative and engaging environment while offering flexibility where possible. Work arrangements may include a mix of in-office and remote work, depending on the nature of the role and business needs. Specific expectations will be shared during the interview process.

EEO & Accommodations

Brooks is committed to fostering a diverse and inclusive workplace and proudly serves as an equal-opportunity employer. We welcome all qualified applicants regardless of race, color, religion, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other legally protected characteristics. Diversity enhances our innovative capabilities and strengthens our ability to serve our customers and communities effectively. For applicants with disabilities requiring accommodations, contact or call to discuss your needs.

Review EEO Law & EEO Statement.

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Role Description

We are seeking an experienced Data Engineering Manager to lead a team of 10 skilled data engineers. The successful candidate will collaborate closely with business and technology stakeholders across multiple regions in APAC, translating business needs into a clear and prioritized delivery backlog. You will be accountable for driving data engineering best practices, ensuring timely delivery, and fostering a high-performance culture within the team.

Role Description

We are seeking an experienced Data Engineering Manager to lead a team of 10 skilled data engineers. The successful candidate will collaborate closely with business and technology stakeholders across multiple regions in APAC, translating business needs into a clear and prioritized delivery backlog. You will be accountable for driving data engineering best practices, ensuring timely delivery, and fostering a high-performance culture within the team.

Key Responsibilities

• Lead, mentor, and manage a team of 10 data engineers, ensuring high-quality deliverables and adherence to engineering best practices.
• Partner with stakeholders from multiple APAC regions to understand business priorities, gather requirements, and translate them into a well-defined product backlog.
• Prioritize and manage the backlog to align with strategic business objectives and technical feasibility.
• Oversee the design, development, and maintenance of scalable, high-performance data pipelines and data models.
• Ensure data quality, security, and governance standards are met across all projects.
• Facilitate effective communication between the data engineering team and cross-functional teams, including data scientists, analysts, and product managers.
• Monitor delivery timelines, proactively identify risks, and implement mitigation plans.
• Drive continuous improvement in processes, tools, and team capabilities.
  
  

Required Skills & Qualifications

• 15+ years of experience in data engineering, with at least 3 years in a people management role.
• Proven track record in managing distributed teams and delivering complex data engineering projects.
• Strong experience with cloud-based data platforms (e.g., Azure, AWS, GCP) and modern data engineering tools.
• Solid understanding of data modeling (dimensional and relational), ETL/ELT design, and data warehouse architectures.
• Strong stakeholder management and communication skills, with experience engaging teams across multiple geographies.
• Ability to prioritize work, manage competing demands, and deliver results under tight timelines.
• Familiarity with Agile methodologies and backlog management tools (e.g., Jira, Azure DevOps).
  
  

Preferred Qualifications

• Experience with Azure Data Factory, Azure Synapse Analytics, Databricks, and ADLS Gen2.
• Knowledge of data governance tools and frameworks.
• Exposure to APAC market dynamics and cross-cultural collaboration.
  
  

Skills

Data Engineering,Data Management,Excellent Communication

Seniority level

• Seniority level Not Applicable

Employment type

• Employment type Full-time

Job function

• Job function Engineering and Information Technology
• Industries IT Services and IT Consulting

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Sign in to set job alerts for “Engineering Manager” roles. Manager 3,Program Management Engineering Section Manager Product Development Engineering Section Manager Equipment Engineering (Advanced Packaging- Fan Out) Senior Manager Systems Design Engineering Quality & Process Improvement Engineer (Teradyne, Penang) Talent and Organization Solutions Program Manager

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Data Engineer page is loaded# Data Engineerlocations:

Malaysia - Johortime type:

Full timeposted on:

Posted 3 Days Agojob requisition id:

R4836Brooks is a leading provider of automation solutions with over 40 years of experience in the semiconductor industry, offering precision robotics, integrated automation systems, and contamination control solutions that empower chip manufacturers worldwide. Our product portfolio includes a range of automation solutions, including robots, vacuum systems, and atmospheric robots for semiconductor manufacturing ().

Data Engineer# **Job Description**• Proven analytical and problem-solving skills.

• Proficient with SQL as a tool to solve problems, analyze data, create ad hoc reports and test.

• Nice to have knowledge of Oracle ERP Order management

• Should have hands on experience on ETL tools like SSIS/Informatica Cloud

• Strong oral and written communication skills.

• Proficient with Power BI/Tableau BI tools

• Ability to work in a team environment.

• Proficient in prioritizing, multi-tasking and managing multiple projects.

• Proven independent worker with strong organizational and time management skills.

• Flexible and can adapt to change.What you’ll bring:

5 to 10 Years’ experience as Data Engineer

Bachelor of Science in Computer Engineering or Information Systems**Work Location & Flexibility**

At Brooks, we aim to foster a collaborative and engaging environment while offering flexibility where possible. Work arrangements may include a mix of in-office and remote work, depending on the nature of the role and business needs. Specific expectations will be shared during the interview process.Brooks is committed to fostering a diverse and inclusive workplace and proudly serves as an equal-opportunity employer. We welcome all qualified applicants regardless of race, color, religion, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other legally protected characteristics. Diversity enhances our innovative capabilities and strengthens our ability to serve our customers and communities effectively. At Brooks Automation, we celebrate the unique experiences and perspectives each individual brings, believing they are essential to our collective success. Join us in building a workplace where every team member is valued and can thrive. For applicants with disabilities requiring accommodations, don't hesitate to get in touch with or call

to discuss your needs.# Since our founding in 1978, Brooks Automation has been a leading automation provider and trusted partner to the global manufacturing industry.# Our customers choose the Brooks Automation platform because we consistently deliver best-in-class reliability and cost of ownership, with a solution that is optimized for value within their application.

We deliver value through our understanding of the application challenge, providing solutions at scale that create an automated advantage for our customers.# We are committed to innovation by continuously developing new product offerings and partnering with our customers to integrate solutions for their manufacturing process tools. This benefits our customers with improved throughput and yield and a lower cost of ownership. #J-18808-Ljbffr

Overview Brooks is a leading provider of automation solutions with over 40 years of experience in the semiconductor industry, offering precision robotics, integrated automation systems, and contamination control solutions that empower chip manufacturers worldwide. Our product portfolio includes a range of automation solutions, including robots, vacuum systems, and atmospheric robots for semiconductor manufacturing ( headquarters in Chelmsford, Massachusetts, Brooks Automation operates globally, serving customers in key markets around the world. We have a significant presence in semiconductor manufacturing and life sciences industries across regions in North America, Europe & Asia.

About the Role The Data Engineering Analyst at Brooks is responsible for developing and optimizing data pipelines and architectures to support advanced analytics and data science initiatives. This role will be working closely with cross-functional teams to ensure our data infrastructure aligns with business objectives and provides actionable insights. As the pioneer member of the Data Analytics team in the region, you will be responsible for maintaining robust data pipelines and infrastructure to support analytics and reporting needs. This role involves ensuring data integrity, optimizing data workflows, and collaborating with stakeholders to enable data-driven decision-making across the organization.

Work Location : Onsite - Johor Bahru, Malaysia.

Key Responsibilities

Design, Build, and Maintain Data Pipelines: Ensure data quality and integrity across multiple data sources

Collaborate with Data and Business Analysts: Support data-driven insights by integrating data from various sources

ETL Processes: Implement and optimize ETL processes for various data environments

Data Warehousing: Maintain and improve data warehousing solutions

Performance Monitoring: Manage and monitor data infrastructure performance

Documentation: Document data engineering processes and best practices

Any other duties as assigned.

Qualifications

Bachelor's or Master's degree in Computer Science, Information Technology, or a related field

Minimum 5+ years of experience in data engineering or a related role

Key Technical Skills: Proven experience with SQL, Informatica IDMC platform

Strong understanding of data warehousing concepts like STAR schema, Analytical databases like AWS Redshift, Data Quality, Data Lineage etc.

Cloud Platforms: Experience with cloud data platforms such as AWS or Azure

Problem-Solving: Excellent problem-solving skills and attention to detail

Communication: Strong communication and collaboration skills

Work Location & Flexibility At Brooks, we aim to foster a collaborative and engaging environment while offering flexibility where possible. Work arrangements may include a mix of in-office and remote work, depending on the nature of the role and business needs. Specific expectations will be shared during the interview process.

EEO & Accommodations Brooks is committed to fostering a diverse and inclusive workplace and proudly serves as an equal-opportunity employer. We welcome all qualified applicants regardless of race, color, religion, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other legally protected characteristics. Diversity enhances our innovative capabilities and strengthens our ability to serve our customers and communities effectively. For applicants with disabilities requiring accommodations, contact or call to discuss your needs.

Review EEO Law & EEO Statement.

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Data Engineering Manager

role at

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Data Engineering Manager

role at

UST Get AI-powered advice on this job and more exclusive features. Role Description

We are seeking an experienced Data Engineering Manager to lead a team of 10 skilled data engineers. The successful candidate will collaborate closely with business and technology stakeholders across multiple regions in APAC, translating business needs into a clear and prioritized delivery backlog. You will be accountable for driving data engineering best practices, ensuring timely delivery, and fostering a high-performance culture within the team. Role Description

We are seeking an experienced Data Engineering Manager to lead a team of 10 skilled data engineers. The successful candidate will collaborate closely with business and technology stakeholders across multiple regions in APAC, translating business needs into a clear and prioritized delivery backlog. You will be accountable for driving data engineering best practices, ensuring timely delivery, and fostering a high-performance culture within the team.

Key Responsibilities

Lead, mentor, and manage a team of 10 data engineers, ensuring high-quality deliverables and adherence to engineering best practices. Partner with stakeholders from multiple APAC regions to understand business priorities, gather requirements, and translate them into a well-defined product backlog. Prioritize and manage the backlog to align with strategic business objectives and technical feasibility. Oversee the design, development, and maintenance of scalable, high-performance data pipelines and data models. Ensure data quality, security, and governance standards are met across all projects. Facilitate effective communication between the data engineering team and cross-functional teams, including data scientists, analysts, and product managers. Monitor delivery timelines, proactively identify risks, and implement mitigation plans. Drive continuous improvement in processes, tools, and team capabilities.

Required Skills & Qualifications

15+ years of experience in data engineering, with at least 3 years in a people management role. Proven track record in managing distributed teams and delivering complex data engineering projects. Strong experience with cloud-based data platforms (e.g., Azure, AWS, GCP) and modern data engineering tools. Solid understanding of data modeling (dimensional and relational), ETL/ELT design, and data warehouse architectures. Strong stakeholder management and communication skills, with experience engaging teams across multiple geographies. Ability to prioritize work, manage competing demands, and deliver results under tight timelines. Familiarity with Agile methodologies and backlog management tools (e.g., Jira, Azure DevOps).

Preferred Qualifications

Experience with Azure Data Factory, Azure Synapse Analytics, Databricks, and ADLS Gen2. Knowledge of data governance tools and frameworks. Exposure to APAC market dynamics and cross-cultural collaboration.

Skills

Data Engineering,Data Management,Excellent Communication Seniority level

Seniority level Not Applicable Employment type

Employment type Full-time Job function

Job function Engineering and Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at UST by 2x Sign in to set job alerts for “Engineering Manager” roles.

Manager 3,Program Management Engineering

Section Manager Product Development Engineering

Section Manager Equipment Engineering (Advanced Packaging- Fan Out)

Senior Manager Systems Design Engineering

Quality & Process Improvement Engineer (Teradyne, Penang)

Talent and Organization Solutions Program Manager

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

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CTOS Digital is a key player in ASEAN credit reporting landscape, enabling digital credit solutions through strategic investment and innovation. We empower individual and business with the confident to make sound credit decision through access to data and insights at greater ease and speed.

Join our team as a Data Engineering Analyst and play a key role in shaping CTOS’s cloud data journey!

We’re looking for a proactive and detail-oriented individual to build and optimize data pipelines, support cloud migration initiatives, and drive automation across our data processes. If you’re passionate about cloud technologies, data engineering, and making data work smarter, not harder, this is the role for you!

Here’s How You Will Add Value

• Execute ad-hoc, monthly and quarterly data extraction services as required by CTOS internal/external clients and in accordance with services SLA.
• Perform QA activities related to client data services.
• Execute data analysis to provide insight for internal/external needs.
• Automate recurrent data related activities.
• Ensure zero non-compliances on process audit on data security and compliance.

Data pipeline development and operationalization

• Design data pipelines to ingest data from multiple sources and implement quality processes.
• Design processes to create data insight, data features and operationalize analytics models.
• Develop and implement those data pipelines.
• Maintain and develop the cloud services relating to data pipelines.
• Operationalize data pipelines for automated and semi-automated execution.
• Implement reporting of data universe, data quality across the organization.
• Implement Dashboard and reports based on stakeholder requirements.
• Ensure zero non-compliances on process audit on data security and compliance.

Data platform innovation

• Support key initiatives including migration of CTOS data services to the cloud.

What you'll need to succeed: Qualifications

• A Bachelor’s Degree, Post Graduate Diploma, or Professional Degree in Computer Science, Information Technology, or a related field

Work Experience

• Minimum 4 years of experience with ETL/ELT tools
• Minimum 4 years of experience working with data platforms
• Minimum 4 years of experience in dashboard development and automation
• Minimum 4 years of experience with cloud services (AWS preferred)
• Experience working in the financial industry is a plus
• Strong knowledge of data platforms, data pipelines, and data-related development (e.g., Hadoop, Spark, Jupyter, cloud-native services)
• Proficient in cloud services and cloud-native data tools (AWS preferred)
• Skilled in programming languages and tools for data pipelines (e.g., SQL, Python/Pandas/PySpark)
• Proficient with automation and monitoring tools (e.g., shell scripting, Airflow)
• Experienced with ETL tools such as Talend and/or cloud-native services like EMR, AWS Glue, EC2, S3
• Capable of troubleshooting data issues
• Able to implement data reporting solutions using platforms such as Grafana, Power BI
• Excellent written and verbal communication skills, including English
• Understanding of financial data systems (e.g., CCRIS, SSM, Angkasa, Idaman) is a plus

Seniority level

• Associate

Employment type

• Full-time

Job function

• Information Technology, Other, and Analyst

Industries

• Financial Services and Banking

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At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.
**The Position**
**Job Summary**
We are seeking a motivated Data Engineering Intern to join our pharmaceutical company's dynamic data team. This internship is a fantastic opportunity for a student or recent graduate to gain hands-on experience in developing, maintaining, and optimizing the data pipelines and infrastructure that power our analytics, business intelligence, and data science initiatives. The ideal candidate is passionate about data, eager to learn, and has a foundational understanding of cloud data technologies, Python programming, and data engineering concepts from their coursework or personal projects.
In this role, you will work with large-scale pharmaceutical and healthcare datasets, learning how to manage data in a secure, compliant, and efficient environment. Under the guidance of our senior data engineers, you will contribute to meaningful projects that enhance data quality and delivery, providing you with invaluable industry experience.
**Key Responsibilities**
+ **Data Pipeline Support:** Assist in building and maintaining data pipelines and foundational ETL/ELT processes for both structured and unstructured data.
+ **Data Modeling & Transformation:** Support the implementation of data models in Snowflake and learn to apply DBT for data transformation and modeling tasks.
+ **Cloud Infrastructure:** Gain exposure to our AWS-based data infrastructure (e.g., S3, Lambda, Glue) by supporting the team in management and monitoring tasks.
+ **Troubleshooting & Documentation:** Help monitor the performance of data pipelines, troubleshoot basic issues with guidance, and contribute to the documentation of data processes.
+ **Data Preparation:** Assist our data teams by preparing and validating datasets for analysis and data science workflows.
+ **Process Improvement:** Participate in discussions about identifying and implementing improvements to data flow and infrastructure, and learn about data governance and security best practices in a regulated industry.
**Requirements**
+ **Education:** Currently pursuing or recently completed a Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field.
+ **Experience:** Relevant experience through academic projects, coursework, or previous internships in data engineering or a related area.
+ **Technical Skills:**
+ Basic proficiency in **Python** for data processing and scripting.
+ Familiarity with **SQL** for querying and data analysis.
+ Exposure to cloud services, particularly **AWS** (S3, Lambda, Glue), through coursework or hands-on learning is a plus.
+ **Eagerness to Learn:** A strong desire to learn and work with modern data tools such as Snowflake, DBT, and orchestration platforms (e.g., Airflow, Prefect).
+ **Soft Skills:** Strong analytical thinking, problem-solving abilities, and clear communication skills.
+ **Interests:** A genuine interest in data security, privacy, and compliance practices.
**Who we are**
A healthier future drives us to innovate. Together, more than 100'000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.
Let's build a healthier future, together.
**Roche is an Equal Opportunity Employer.**