292 Data Engineer jobs in Malaysia

CloudMile Federal Territory of Kuala Lumpur, Malaysia

CloudMile Federal Territory of Kuala Lumpur, Malaysia

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We are looking for a Data Engineer to help build and manage robust data pipelines and platforms that power advanced analytics and AI solutions.

Key Responsibilities

• Develop and maintain batch and streaming data pipelines using GCP services , such as BigQuery, Dataflow, Dataproc, Composer, Dataform, Cloud Functions .
• Load, transform, and optimize data in BigQuery for analytics and reporting.
• Integrate data from multiple sources including APIs, databases, and files.
• Assist in data migration from legacy systems such as Oracle and MicroStrategy.
• Ensure data quality, governance, and security compliance.
• Collaborate with analysts and business teams to support reporting needs.

Requirements

• 3–5 years’ experience in data engineering or ETL development.
• Hands-on experience with GCP Data Stack (BigQuery, Dataflow, Composer, Dataproc).
• Solid SQL and Python skills.
• Familiarity with Azure Data Stack is a plus.
• Understanding of data modelling concepts and performance optimization.
• Willingness to learn and work on large-scale migration projects.

• Seniority level Associate

• Employment type Contract

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

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Get notified about new Data Engineer jobs in Federal Territory of Kuala Lumpur, Malaysia .

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago

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Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago

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Federal Territory of Kuala Lumpur, Malaysia 3 weeks ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 3 days ago

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Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 month ago

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Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago

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Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 month ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago

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Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 months ago

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Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia MYR3,500.00-MYR4,000.00 1 month ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago

Federal Territory of Kuala Lumpur, Malaysia 2 days ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago

Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 month ago

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia MYR4,000.00-MYR4,500.00 4 days ago

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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.

• 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 +1 ( to discuss your needs.

Review EEO Law & EEO Statement .

MoneyLion is a leader in financial technology powering the next generation of personalized products and content, with a top consumer finance super app, a premier embedded finance platform for enterprise businesses and a world-class media arm. MoneyLion’s mission is to give everyone the power to make their best financial decisions. We pride ourselves on serving the many, not the few; providing confidence through guidance, choice, personalization; and shortening the distance to an informed action.

In our go-to money app for consumers, we deliver curated content on finance and related topics, through a tailored feed that engages people to learn and share. People take control of their finances with our innovative financial products and marketplace - including our full-fledged suite of features to save, borrow, spend, and invest - seamlessly bringing together the best offers and content from MoneyLion and our 1,100+ Enterprise Partner network, together in one experience. MoneyLion’s enterprise technology provides the definitive search engine and marketplace for financial products, enabling any company to add embedded finance to their business, with advanced AI-backed data and tools through our platform and API. Established in 2013, MoneyLion connects millions of people with the financial products and content they need, when and where they need it.

About the Role

The Kuala Lumpur office is the technology powerhouse of MoneyLion. We pride ourselves on innovative initiatives and thrive in a fast paced and challenging environment. Join our multicultural team of visionaries and industry rebels in disrupting the traditional finance industry!

MoneyLion is building a world class data ecosystem that will dramatically improve the ability of internal data users and analysts to create products and experiences that captivate our customers. As the Data Engineer, you will participate in technical and architectural planning as well as contributing as a developer while interacting with data scientists, software engineers, and analysts as we build and scale the world's most rewarding program for financial wellness.

Key Responsibilities

• Assist with reviewing and interpreting business and technical requirements with a focus on data objectives of the product
• Identify requirements and develop data delivery solutions
• Implement company policies on data access and data distribution
• Support members of various teams to determine database structural requirements by analyzing their applications and client operations
• Collaborate with highly talented engineers while striving to help them build their skills and achieve their career goals
• Support data flow and ETL processes from end to end for projects and initiatives including troubleshooting of data issues, integrity checks, data model design, querying of data, and performance resulting from data issues
• Assist in training over the data systems used by the company for the employees. Specifically, training programs for new hires on various reports and models available in the data visualization tools that are used
• Analyze large data sets, some of them messy, to answer and solve real-world business problems while charting paths towards data cleanup and preventing data from becoming messy

About You

• Familiarity with financial and banking products
• Demonstrated skills in good software engineering practices
• Building and shipping large-scale engineering products and/or infrastructure
• Scalable data architecture, fault-tolerant ETL, and monitoring data quality in the cloud (We use AWS)
• Collaborating with a diverse set of engineers, data scientists and product managers
• Deep expertise in data engineering and data processing at scale. Requires a focus on the development of pipelines for the creation of data lakes to enable exploration as well as machine learning model training, deployment and scoring at massive scale.
• Familiarity with data science techniques and frameworks
• NoSQL, Relational databases and Presto (We use MongoDB, MySQL, PostgreSQL, ElasticSearch)
• The AWS stack combined with technologies such as Java, Python, Spark, and Kafka
• Familiarity with Apache Airflow or equivalent workflow management tools

What's Next.

After you submit your application, you can expect the following steps in the recruitment process:

• Online Preliminary HackerRank test
• Interview - Talent Acquisition Team (Virtual or face-to-face)
• Take-home Assessment - To be discussed in the technical round
• Interview - Hiring Manager (Virtual or face-to-face)

We value growth-minded and collaborative people with high learning agility who embody our core values of teamwork, customer-first and innovation . Every member of the MoneyLion Team is passionate about fintech and ready to give 100% in helping us achieve our mission.

Working At MoneyLion

At MoneyLion, we want you to be well and thrive. Our generous benefits package includes:

• Competitive salary packages
• Wellness perks
• Paid parental leave
• Generous Paid Time Off
• Learning and Development resources

MoneyLion is committed to equal employment opportunities for all employees. Inside our company, every decision we make regarding our employees is based on merit, competence, and performance, completely free of discrimination. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. Within that team, no one will feel more “other” than anyone else. We realize the full promise of diversity and want you to bring your whole self to work every single day.

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Role Description

About the Role:

We are looking for a highly skilled and results-driven Data Engineer to join our dynamic data engineering team.

In this role, you will be responsible for designing, building, and maintaining real-time data pipelines and high-performance ETL workflows across cloud platforms such as AWS and Azure.

You will play a key role in managing large-scale data integration, ensuring data quality and security, and enabling advanced analytics for telecom and financial domains.

Key Responsibilities

• Design and deploy scalable, real-time data streaming pipelines using AWS Glue, Kinesis, and Teradata VantageCloud Lake.
• Build and maintain robust ETL workflows using Azure Data Factory and Synapse Analytics to process telecom and financial data exceeding 10TB.
• Optimize SQL performance with advanced techniques like secondary indexing, partition pruning, and temporary table usage in Teradata and Synapse.
• Automate data validation using Python to enforce schema integrity, null handling, and transformation audits.
• Implement data security measures including masking and role-based access control (RBAC) to ensure compliance with GDPR and internal policies.
• Develop web scraping tools using Selenium and BeautifulSoup to ingest semi-structured and dynamic web data into ETL pipelines.
• Automate deployment and server-side operations using Bash scripting, reducing manual intervention and streamlining engineering workflows.
• Collaborate with cross-functional teams to implement and monitor data solutions using CI/CD pipelines and modern orchestration tools.
  
  

• Bachelor’s degree in Computer Science or a related field from a reputed university.
• 2+ years of experience in data engineering or backend development with hands-on expertise in cloud-native ETL systems.
• Strong programming skills in Python and SQL with a deep understanding of data structures and algorithms.
• Proficiency in working with AWS (Glue, Kinesis, Lambda), Azure (ADF, Synapse), and Teradata VantageCloud.
• Experience with LLM tools like LangChain, vector databases, and building AI-powered automation systems is a plus.
• Knowledge of data orchestration and DevOps tools like Airflow, Docker, Git, Kubernetes, Terraform, and Jenkins.
  
  

• Exposure to GCP ecosystem (BigQuery, Dataflow).
• Understanding of data governance, compliance standards, and secure data handling (PII, GDPR).
• Familiarity with REST API integration and event-driven data architectures.
  
  

• Work with cutting-edge technologies in a cloud-first, AI-augmented environment.
• Contribute to high-impact projects for global telecom and financial clients.
• Flexible work arrangements and a strong culture of learning and innovation.
  
  

• Seniority level Entry level

• Employment type Full-time

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

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Get notified about new Data Specialist jobs in Bayan Lepas, Penang, Malaysia .

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WhiteCoat ( is a regional digital healthcare provider founded and headquartered in Singapore, offering on-demand telemedicine services and other services through innovation and data-driven technology. WhiteCoat’s core services include primary care tele-consultations, chronic disease management, health screening services and home-based medical services. As a digital healthcare leader, WhiteCoat partners global insurance giant, AIA, large conglomerates and other government, and financial organisations to spearhead the way for wider access to affordable healthcare across the Southeast Asia region.

What We are Looking For

Are you a driven, energetic and innovative individual with a passion for transforming healthcare through cutting-edge telehealth solutions?We are seeking a talented and motivated Senior Executive,Data Engineer to join our dynamic team. As a Data Engineer, you will play a key role in for designing, developing, and maintaining data pipelines and architectures to support data analysis and machine learning initiatives. Working closely with data scientists, analysts, and other stakeholders to ensure that data is collected, processed, and stored efficiently and accurately.

We offer you the opportunity to be part of a multi-functional and dynamic team. Joining us should appeal to you not just because we respect and value our employees but because we are a place where passion and dedication are rewarded with opportunities for professional and personal growth.

Key Responsibilities

• Architect and design data infrastructure on cloud

• Design and build resilient and efficient data pipelines for both batch and real-time streaming data

• Assemble and collect data sets that meet functional and non-functional business requirements

• Identify, design & implement internal process improvements, automating manual processes optimizing data delivery, infrastructure for greater scalability

• Build the infrastructure required for optimal extraction, transformation and loading of data from a variety of sources using SQL, APIs and cloud services technologies.

• Build tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics

• Build tools for analytics and data team member that assist in building and optimizing the product into an innovative leader

• Work with data and analytics experts to strive for greater functionality in our data lake, systems and ML/Feature Engineering for AI solutions

• Work with cross-functional departments to understand their data needs and requirements and build tools to assist them with their analytics tools

• Additional responsibilities and tasks assigned by management from time to time.

Qualifications & Requirements

• Minimum 3 years ofrelevant experience

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.

• Proficiency in programming languages such as Python, Java, or SQL.

• Experience with data processing frameworks and technologies

• Strong understanding of database concepts and experience with relational

• Knowledge of data modeling and familiarity with cloud platforms and services

• Excellent problem-solving skills, attention to detail, and ability to work independently as well as part of a team.

• Strong communication and interpersonal skills, with the ability to explain technical concepts to non-technical stakeholders.

You will also get to enjoy the following:

• Healthcare and insurance benefits
• Incentives for good individual and team performances
• Company-wide monthly WFH arrangement and flexible work hours where possible depending on the nature of the role
• Family Care Leaves + Birthday leave and incremental annual leaves every year up to 18days

Only shortlisted candidates will be contacted for further assessment.

Why Join Us?

We are a GREAT PLACE TO WORK! 92% of our employeessay it is a great place to work compared to 53% of employees at a typical Global company. While people are at the centre of what we do as an organisation, we can only do so if we do right by our people. And we know we can only get better by bringing in talents like you to grow together as we strive to become the healthcare provider and theemployer of choice.

If you join us, you will become part of a diverse and inclusive team of passionate healthcare and technology professionals, a number that has been growing since we started in 2017. As we embark on our growth plan in the region, we will more than double our team as we move into 2025. Our team is led by some of the most experienced individuals in their respective fields.

What should you do next?

Go to our career page at tinyurl.com/wcgcareers , hit the apply button and we will be in touch!

Job Title: Data Engineer

Location: Puchong, Selangor

Industry: Automotive Technology

Employment Type: Full-Time

Experience Level: Mid to Senior-Level

About the Company:

We are a leading global automotive technology company at the forefront of innovation and digital transformation. With a strong presence in Southeast Asia and beyond, we are expanding our data-driven initiatives to support smarter mobility and operational excellence.

Role Overview:

We are looking for a highly motivated and skilled Data Engineer to join our dynamic data & analytics team. This role will be instrumental in designing, building, and maintaining robust data pipelines and analytical solutions using tools such as Azure Databricks and Power BI . The ideal candidate will have a solid understanding of data engineering principles, cloud platforms, and visualization tools to support data-driven decision-making across the organization.

Key Responsibilities:

• Design, build, and maintain scalable and efficient data pipelines using Azure Databricks and other Azure data services.
• Collaborate with data analysts, data scientists, and business stakeholders to understand data needs and deliver solutions.
• Integrate data from various sources (structured & unstructured) into a unified data lake or warehouse.
• Develop and optimize Power BI dashboards and reports to deliver actionable business insights.
• Ensure data quality, consistency, and governance across systems.
• Monitor, troubleshoot, and improve performance of data solutions.
• Participate in data architecture design and contribute to strategic data initiatives.

Required Qualifications:

• Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field.
• 3+ years of experience in data engineering or related roles.
• Strong hands-on experience with Azure Databricks , Spark , and Azure Data Factory .
• Proficiency in Power BI – including DAX, data modeling, and dashboard development.
• Solid SQL skills and understanding of relational and non-relational databases.
• Experience with data pipeline orchestration, ETL/ELT frameworks, and big data technologies.
• Familiarity with version control tools (e.g., Git) and DevOps practices in data projects.
• Strong problem-solving abilities and communication skills.

Preferred Skills (Nice to Have):

• Experience with CI/CD pipelines for data engineering workflows.
• Knowledge of Python or Scala for data transformation tasks.
• Exposure to data governance, security, and compliance in a corporate environment.
• Experience working in Agile or Scrum teams.

What We Offer:

• A competitive salary and benefits package.
• Exposure to cutting-edge automotive technologies and global data projects.
• A collaborative and innovative working environment.
• Opportunities for professional growth and training.

We are a digital health therapeutics company operating across SEA, focused on the intersection of mental health and physical chronic diseases. We combine behavioral science, psychology, data science, and digital design to help companies, healthcare providers, and ultimately, people, achieve a healthier lifestyle.

We are looking for a proactive and skilled Data Engineer to help build and scale our data infrastructure from the ground up. You will play a key role in designing and developing a modern data warehouse using AWS Redshift and DBT, consolidating multiple data sources into a single source of truth that powers decision-making across the company.

You’ll join a fast-moving team in a startup environment, where autonomy, problem-solving, and a builder mindset are essential.

1. Design, build, and maintain robust, scalable ETL/ELT pipelines using DBT, Python, and SQL
2. Set up and manage a cloud-based data warehouse using AWS Redshift
3. Ingest and integrate data from a variety of sources (e.g., APIs, application databases, third-party tools)
4. Implement and document data warehouse rules for each layer (staging, intermediate, and reporting)
5. Apply data cleaning practices, including handling missing values using appropriate imputation techniques
6. Build and enforce data quality validation checks to ensure reliable downstream analytics
7. Collaborate with data scientists, analysts, and business stakeholders to translate needs into efficient data models
8. Maintain a secure, performant, and cost-effective infrastructure using AWS tools (e.g., S3, Lambda, IAM)
9. Write clear, well-maintained documentation for data models, pipelines, and infrastructure

• 2–3 years of experience in data engineering
• Proficiency in SQL for data modeling, transformation, and performance optimization
• Strong experience with AWS services (especially Redshift, S3, Lambda, IAM)
• Hands-on experience with DBT, understanding layer-based modeling and modular design
• Programming experience in Python, especially for data ingestion and transformation
• Familiarity with data cleaning techniques, including strategies for dealing with missing or inconsistent values
• Ability to document and maintain data warehouse rules and logic for transparency and governance
• Comfort working independently with minimal supervision in a fast-paced startup environment
• Strong attention to detail and a commitment to data integrity and reliability
• Clear communication skills and the ability to work cross-functionally with technical and non-technical stakeholders

• Experience with orchestration tools
• Familiarity with data lake architecture and partitioning strategies
• Knowledge of CI/CD for data workflows
• Experience working with event-driven or streaming data
• Familiarity with BI tools like Metabase, Tableau, or Looker
• Understanding of data access controls, compliance, and governance best practices

• You’ll work on meaningful, high-impact problems across the business
• You’ll shape the company's data foundation and standards from the ground up
• You’ll be part of a collaborative, ownership-driven culture with room to grow
• You’ll have autonomy and visibility in a supportive, startup-minded environment

Job Overview :

We are seeking a skilled and experienced Data Engineer to join our team and contribute to our data-driven initiatives. The ideal candidate will have a strong background in data integration, data warehousing, and experience with ETL tools such as Tableau and Matillion. The role requires expertise in building and maintaining data pipelines, ensuring data quality, and working effectively with large datasets. Additionally, experience working with US clients is highly desirable.

Key Responsibilities:

• Design, develop, and maintain robust data pipelines to support various analytics and business intelligence efforts.
• Implement and manage data integration solutions, ensuring seamless flow and transformation of data from various sources.
• Develop and maintain data warehouses that facilitate efficient data retrieval and reporting.
• Leverage ETL tools (Tableau, Matillion) to extract, transform, and load data across different platforms.
• Collaborate with data analysts, data scientists, and other stakeholders to understand data needs and provide scalable solutions.
• Monitor and troubleshoot data workflows, ensuring data integrity and optimal performance.
• Work closely with US-based clients, understanding their specific data requirements and delivering solutions that meet their needs.
• Stay up-to-date with emerging technologies and best practices in data engineering and apply them to improve existing processes.

Qualifications :

• Experience: 5+ years of experience in data engineering, data integration, and data warehousing.
• Technical Skills:
• Proficiency with ETL tools such as Tableau and Matillion.
• Experience with SQL is a must
• Strong knowledge of data warehousing concepts and architectures.
• Experience with Azure is a plus.

Soft Skills:

• Excellent problem-solving and analytical skills.
• Strong communication skills, particularly with US clients.
• Ability to work in a fast-paced environment and manage multiplepriorities.

• Design and build robust, scalable data pipelines to ingest and process large volumes of data.
• Develop complex data models to support client-facing teams and product features.
• Lead and support the migration of data infrastructure from on-premise to cloud environments.
• Collaborate with stakeholders to understand data requirements and translate them into technical solutions.
• Implement and maintain optimal cloud-based architectures to support our data products.
• Own the full lifecycle of data processes—from ideation to deployment and maintenance.
  
  

• Hands-on experience with AWS and Azure cloud platforms.
• Strong Python skills and advanced SQL proficiency.
• Experience with Dagster, DBT, Snowflake, and SQL Server.
• Deep understanding of conceptual, logical, and physical data modeling for both OLTP and OLAP systems.
• Familiarity with AWS EC2, Terraform, CI/CD pipelines, Git, Docker, ECR, and EKS.
• Excellent collaboration skills to work effectively with cross-functional teams.