1,127 Data Engineering jobs in Malaysia

Overview

ZALORA Group is looking for a Data Engineering Manager to join its Data Science Team. As a Data Engineering Manager, you will lead a small team of two Data Engineers to design, build, and maintain robust, scalable, and efficient data pipelines and systems that support the Finance and Commercial departments.

Team Leadership & Management

• Lead, mentor, and develop a team of two Data Engineers, providing technical guidance and career development support.
• Manage workload allocation, set priorities, and ensure timely delivery of team objectives.

Data Infrastructure & Pipeline Development

• Design, implement, and maintain scalable ETL/ELT pipelines to support Finance and Commercial data requirements.
• Ensure pipelines are reliable, efficient, and optimized for performance.
• Provide architectural oversight and ensure best practices in data engineering are applied.

Data Quality & Governance

• Establish processes to ensure data accuracy, consistency, and reliability.
• Implement monitoring, testing, and alerting mechanisms for data pipelines.

Business Support & Collaboration

• Work closely with Finance and Commercial stakeholders to define and align on data definitions, standards, and governance practices.
• Translate business requirements into technical solutions that align with long-term data strategy.

• Reliable and well-documented data pipelines supporting Finance and Commercial teams.
• Consistent, high-quality datasets for reporting and decision-making.
• Reduced downtime and faster resolution of data issues.
• Clear team processes, coding standards, and documentation.
• A motivated and high-performing data engineering team.

ZALORA is the leading e-commerce company providing fashion throughout South East Asia. ZALORA Engineering has teams in Singapore and Vietnam to serve millions of users in Malaysia, Singapore, Hong Kong, Taiwan, Indonesia, Philippines. This regional diversity presents a lot of interesting challenges that you and your colleagues will face. You will learn a lot by tackling these challenges.

ZALORA's e-commerce platform is built with love by the engineering team. The Ho Chi Minh office, 12 Ton Dan, D4 (ZALORA Group) focuses completely on engineering and sets a high standard for software development in the field of e-commerce. This team creates the tech stack that powers ZALORA's stellar shopping experience. This ranges from the online shop and the mobile apps to ZALORA's complex logistics solutions.

ZALORA exists for the millions of fashion consumers in Asia seeking a shopping experience focused on their unique styles, trends and fit. As Asia’s leading online fashion destination, ZALORA was founded in 2012 and has a presence in Singapore, Indonesia, Malaysia & Brunei, the Philippines, Hong Kong and Taiwan. ZALORA’s localised sites offer an extensive collection of top international and local brands as well as our own in-house labels across apparel, shoes and accessories for men and women. ZALORA is part of Global Fashion Group, the world's leader in online fashion for emerging markets.

ZALORA is not obligated to accept resumes from any third parties on behalf of potential candidates for any position (advertised or otherwise) by any means, unless ZALORA has executed a written agreement with such third party and has expressly requested such third party for candidate referrals. Third parties who provide unsolicited resumes of candidate(s) shall waive and forfeit all rights to claim for any placement fees or referral fees in the event that such candidate is eventually engaged or employed by ZALORA or Global Fashion Group.

Join to apply for the Data Engineering Manager role at UST

3 days ago Be among the first 25 applicants

Join to apply for the 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.
  
  

• 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).
  
  

• 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.
  
  

• Seniority level Not Applicable

• Employment type Full-time

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

Referrals increase your chances of interviewing at UST by 2x

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

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 ).

Are you looking for a place where you can be part of a transformation? Join us at Brooks Automation and be a part of a dynamic organization that is shaping the future of technology.

Data Engineering Analyst

Job Description
About Brooks:
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.

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.

Review EEO Law & EEO Statement.

ZALORA Group is looking for aData Engineering Manager to join its Data Science Team. As a Data Engineering Manager, you will lead a small team of two Data Engineers to design, build, and maintain robust, scalable, and efficient data pipeline and systems that support the Finance and Commercial departments.

WHAT WILL YOU DO

Team Leadership & Management

• Lead, mentor, and develop a team of two Data Engineers, providing technical guidance and career development support.
• Manage workload allocation, set priorities, and ensure timely delivery of team objective

Data Infrastructure & Pipeline Development

• Design, implement, and maintain scalable ETL/ELT pipelines to support Finance and Commercial data requirements.
• Ensure pipelines are reliable, efficient, and optimized for performance.
• Provide architectural oversight and ensure best practices in data engineering are applied.

Data Quality & Governance

• Establish processes to ensure data accuracy, consistency, and reliability.
• Implement monitoring, testing, and alerting mechanisms for data pipelines.

Business Support & Collaboration

• Work closely with Finance and Commercial stakeholders to define and align on data definitions, standards, and governance practices.
• Translate business requirements into technical solutions that align with long-term data strategy.

WHAT WILL YOU BRING TO THE TEAM

• Reliable and well-documented data pipelines supporting Finance and Commercial teams.
• Consistent, high-quality datasets for reporting and decision-making.
• Reduced downtime and faster resolution of data issues.
• Clear team processes, coding standards, and documentation.
• A motivated and high-performing data engineering team.

ZALORA Engineering

ZALORA is the leading e-commerce company providing fashion throughout South East Asia. ZALORA Engineering has teams in Singapore and Vietnam to serve millions of users in Malaysia, Singapore, Hong Kong, Taiwan, Indonesia, Philippines. This regional diversity presents a lot of interesting challenges that you and your colleagues will face. You will learn a lot by tackling these challenges.

ZALORA's e-commerce platform is built with love by the engineering team. The Ho Chi Minh office, 12 Ton Dan, D4 (ZALORA Group) focuses completely on engineering and sets a high standard for software development in the field of e-commerce. This team creates the tech stack that powers ZALORA's stellar shopping experience. This ranges from the online shop and the mobile apps to ZALORA's complex logistics solutions.

The ZALORA Story

ZALORA exists for the millions of fashion consumers in Asia seeking a shopping experience focused on their unique styles, trends and fit. As Asia's leading online fashion destination, ZALORA was founded in 2012 and has a presence in Singapore, Indonesia, Malaysia & Brunei, the Philippines, Hong Kong and Taiwan. ZALORA's localised sites offer an extensive collection of top international and local brands as well as our own in-house labels across apparel, shoes and accessories for men and women. ZALORA is part of Global Fashion Group, the world's leader in online fashion for emerging markets.

ZALORA is not obligated to accept resumes from any third parties on behalf of potential candidates for any position (advertised or otherwise) by any means, unless ZALORA has executed a written agreement with such third party and has expressly requested such third party for candidate referrals. Third parties who provide unsolicited resumes of candidate(s) shall waive and forfeit all rights to claim for any placement fees or referral fees in the event that such candidate is eventually engaged or employed by ZALORA or Global Fashion Group.

Location:Bayan Baru, MY

Posting Date: Aug 26, 2025

Job ID: 12671

About our group:

We are an IT MES (Manufacturing Execution System) team based in Woodlands, supporting Seagate's global factory operations in Singapore, Malaysia, US, Thailand, and China. Our core mission is to design and implement scalable data integration solutions that power MES and Factory IT applications.

Our focus includes Database ETL processes, complex SQL development, and Python-based automation to optimize data flows and ensure system reliability. Beyond traditional data engineering, we are also exploring Generative AI and Agentic AI solutions to modernize data platforms and create new value for factory operations.

This internship is ideal for students who are passionate about ETL/Data Engineering with Oracle, eager to sharpen their Python skills, and curious about the application of LLMs and AI frameworks in enterprise IT.

About the role - you will:

As a Data Engineering Intern, you will:

• Work with senior engineers on ETL processes in Postgres / Oracle, including writing and optimizing stored procedures, functions, and packages.
• Develop and optimize complex SQL queries to support data extraction, transformation, and reporting needs.
• Use Python for automation, data processing, and proof-of-concepts.
• Collaborate with Application Architects and Business SMEs to deliver data integration solutions supporting MES and factory applications.
• Contribute to projects involving LLMs, LangChain, LangGraph, and Marimo notebooks for GenAI-enabled data pipelines.
• Support testing, troubleshooting, and documentation to ensure system reliability and performance.

About you:

• Strong foundation in SQL and relational database concepts.
• Hands-on skills in Database stored procedures, triggers, and performance tuning.
• Comfortable coding in Python and eager to apply it for ETL automation and analytics.
• Interested in emerging technologies like Generative AI, LLM frameworks (LangChain, LangGraph), and Marimo notebooks.
• Detail-oriented, analytical, and self-motivated with strong problem-solving skills.
• Good communication and teamwork abilities.

Your experience includes:

• Pursuing a degree in Computer Science, Software Engineering, Information Systems, or related field.
• Experience (academic or project-based) with ETL pipelines in Oracle/Postgres
• Familiarity with Generative AI frameworks (LangChain, LangGraph, Chainlit, or similar).
• Knowledge of version control (Git) and Agile practices.

Location:

Our Woodlands site is one of the largest electronics manufacturing sites in Singapore, housing our recording media operations. Spread over three sites, it is easily accessible via bus or from the MRT Station, with many employees taking mass transportation to work. Here at work, you can enjoy breakfast, lunch, dinner, and snacks at our onsite canteen and coffee shop. We offer a range of facilities including an in-house gym and dance studio, as well as after-work badminton and table tennis competitions. On-site celebrations and community volunteer opportunities also abound.

Location: Penang Malaysia Suntech

Travel: None

About our group:

We are an IT MES (Manufacturing Execution System) team based in Woodlands, supporting Seagate's global factory operations in Singapore, Malaysia, US, Thailand, and China. Our core mission is to design and implement scalable data integration solutions that power MES and Factory IT applications.

Our focus includes Database ETL processes, complex SQL development, and Python-based automation to optimize data flows and ensure system reliability. Beyond traditional data engineering, we are also exploring Generative AI and Agentic AI solutions to modernize data platforms and create new value for factory operations.

This internship is ideal for students who are passionate about ETL/Data Engineering with Oracle, eager to sharpen their Python skills, and curious about the application of LLMs and AI frameworks in enterprise IT.

About the role - you will:

As a Data Engineering Intern, you will:

• Work with senior engineers on ETL processes in Postgres / Oracle, including writing and optimizing stored procedures, functions, and packages.
• Develop and optimize complex SQL queries to support data extraction, transformation, and reporting needs.
• Use Python for automation, data processing, and proof-of-concepts.
• Collaborate with Application Architects and Business SMEs to deliver data integration solutions supporting MES and factory applications.
• Contribute to projects involving LLMs, LangChain, LangGraph, and Marimo notebooks for GenAI-enabled data pipelines.
• Support testing, troubleshooting, and documentation to ensure system reliability and performance.

About you:

• Strong foundation in SQL and relational database concepts.
• Hands-on skills in Database stored procedures, triggers, and performance tuning.
• Comfortable coding in Python and eager to apply it for ETL automation and analytics.
• Interested in emerging technologies like Generative AI, LLM frameworks (LangChain, LangGraph), and Marimo notebooks.
• Detail-oriented, analytical, and self-motivated with strong problem-solving skills.
• Good communication and teamwork abilities.

Your experience includes:

• Pursuing a degree in Computer Science, Software Engineering, Information Systems, or related field.
• Experience (academic or project-based) with ETL pipelines in Oracle/Postgres
• Familiarity with Generative AI frameworks (LangChain, LangGraph, Chainlit, or similar).
• Knowledge of version control (Git) and Agile practices.

Location:

Our Woodlands site is one of the largest electronics manufacturing sites in Singapore, housing our recording media operations. Spread over three sites, it is easily accessible via bus or from the MRT Station, with many employees taking mass transportation to work. Here at work, you can enjoy breakfast, lunch, dinner, and snacks at our onsite canteen and coffee shop. We offer a range of facilities including an in-house gym and dance studio, as well as after-work badminton and table tennis competitions. On-site celebrations and community volunteer opportunities also abound.

Location: Penang Malaysia Suntech

Travel: None

About Brooks:

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 (Pasir Gudang), 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

About Us
Intrepid Asia is a leading Ecommerce and Digital Solutions Provider in South East Asia. We offer end-to-end omni-channel ecommerce management, a wide range of Digital Marketing Services and advanced Market Intelligence, all powered by state of the art inhouse Technology to our client base of leading international brands across all key marketplaces and social platforms in all 6 SEA countries. Brands love our regional presence, our excellent data-driven and growth-focused services which are enabled by the strongest team in the industry, and our advanced marketing and tech capabilities.

We are growing rapidly and as the exclusive partner of Flywheel in SEA, we offer many exciting opportunities to work with leading brands across multiple categories and key industry players. By joining us, you will work on the cutting edge of digital commerce in SEA, and experience what it takes to drive a successful ecommerce business end to end.

The Role

We are seeking a seasoned and innovative Data Engineering Manager to lead our talented team of data engineers. You will take ownership of our entire data ecosystem, ensuring the reliability, scalability, and efficiency of our data pipelines and data warehouses. Your primary mission will be to maintain and enhance our current infrastructure built on Google Cloud Platform (GCP), Airflow, dbt, StarRocks, and Google BigQuery while architecting its evolution to support our ambitious goals in AI, SaaS, and enterprise-level analytics.

The ideal candidate is a hands-on leader with a strategic mindset, a passion for technology, strong business acumen, and a relentless drive for improvement. You will be instrumental in fostering a culture of excellence, agility, and cost-conscious innovation within the team.

Key Responsibilities

• Team Leadership & Mentorship:

• Lead, manage, and mentor a team of data engineers, fostering their professional growth and cultivating a collaborative, high-performance culture.

• Champion Agile methodologies (Scrum/Kanban) to manage project priorities, deadlines, and deliverables effectively.

• Data Platform & Pipeline Management:

• Oversee the end-to-end data lifecycle, ensuring the robustness and performance of our data pipelines orchestrated with Apache Airflow and transformations managed by dbt.

• Manage and optimize our dual data warehouse strategy, leveraging StarRocks for transformation and analytics, and Google BigQuery for large-scale data warehousing.

• Champion DataOps principles, implementing best practices for CI/CD, automated testing, and infrastructure as code.

• Data Quality & Observability:

• Design and implement a comprehensive data quality framework, establishing metrics and SLAs for our critical datasets.

• Implement and manage a data observability platform to proactively monitor, alert, and troubleshoot issues across the data stack, minimizing data downtime.

• Develop and own our data governance strategy to ensure data accuracy, security, and compliance.

• Data Architecture & Strategy:

• Design and evolve our data architecture to be future-ready for enterprise-grade data services and new business initiatives.

• Collaborate closely with data scientists, analysts, product managers, and business stakeholders to understand data requirements and deliver impactful solutions.
• Drive cost-optimization initiatives across our data stack, ensuring we achieve maximum value from our cloud and technology investments.

Required Skills & Experience

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
• 8+ years of hands-on experience in data engineering, with a proven track record of building and maintaining large-scale data pipelines.
• 3+ years of experience in a leadership or management role.
• Expert proficiency in SQL and Python.
• Exposure to building data infrastructure to support AI/ML workflows (e.g., feature stores, MLOps).

• Deep, hands-on experience with modern data stack tools, including:

• Workflow Orchestration: Apache Airflow

• Data Transformation: dbt
• Cloud Data Warehouses: Google BigQuery is a must and/or familiarity with other similar Data Warehouse technologies i.e. Snowflake, Azure Synapse Analytics, Databricks.
• Modern OLAP Databases: StarRocks or similar (e.g., ClickHouse, Druid).

• Familiarity with OLTP databases like MySQL and Postgres is required.

• Solid understanding of DataOps principles, data modelling, ETL/ELT design patterns, and data architecture.

• Proven experience working in an Agile/Scrum development environment.

Preferred Qualifications (Added Advantage)

• Experience within the e-commerce and/or digital marketing landscape.
• Hands-on experience with data observability platforms (e.g., Monte Carlo, Datadog, OpenTelemetry).
• Experience designing and building multi-tenant data architectures for SaaS products.
• Extensive experience with the Google Cloud Platform (GCP) ecosystem.

What we offer:

• Excellent and competitive compensation package
• Professional and open international working environment – culturally integrating the best of all cultures to take the best of each and ensure we build an energetic, commercial, and fun working atmosphere.
• You are one of the pioneers of a new and cutting edge Flywheel product underpinned by strong tech. You have a key position in the Intrepid Insights team working on a unique product solving complex data challenges.
• Ample opportunity for personal and professional development, both on the job and through regular training (Ecommerce topics, technical skills, soft skills and leadership training) made available on our proprietary learning platform Intrepid University
• You will work with many brilliant co-workers who are movers and shakers of the industry, as well as with leading brand and ecosystem partners across all categories to shape their presence across all ecommerce platforms in the years to come, and will have a broad view on the latest developments in the South East Asian e-commerce ecosystem

Note: we will not be accepting any unsolicited resumes or CVs from headhunting or recruitment agencies at this point. Any CVs or profiles shared with us will not be entertained, and in the event of dispute, Intrepid will not be liable for any material compensation to third parties