243 Data Engineer jobs in Kuala Lumpur

Overview

Join to apply for the Data Engineer/ Senior Data Engineer role at MoneyHero Group (Nasdaq: MNY) .

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

This is a fully remote role to be based in Malaysia. We will prioritize candidates who are based in Malaysia and do not require a work visa sponsorship.

MoneyHero Group (Nasdaq: MNY) is a market leading financial products platform in Greater Southeast Asia, reaching 9.8m monthly unique users and working with more than 270 commercial partners across five markets including Singapore, Hong Kong S.A.R., Philippines, Taiwan, and Malaysia.

The Senior Data Engineer is responsible for overseeing the design, development, implementation, and maintenance of all data-related systems, infrastructure, and processes within an organization. They will lead a team of data engineers and work closely with data scientists, business analysts, and other stakeholders to ensure that data is properly collected, processed, stored, and made available for analysis and decision-making purposes.

• Develop and implement technical data architecture and engineering strategies to support the organisation's data-driven initiatives, including data warehousing, ETL processes, and data governance.
• Build and maintain scalable and reliable data pipelines, ensuring data quality and consistency across all systems.
• Create and maintain data models that align with business requirements, ensuring data integrity and optimal performance
• Manage, guide and support junior data engineers in the development and implementation of data-related solutions
• Collaborate with data scientists, business analysts, and other stakeholders to identify data-related needs and requirements, and develop and implement solutions.
• Monitor and troubleshoot data-related issues, providing timely resolution and support to minimize downtime and disruption.

• At least 4+ years of hands-on experience in data engineering building scalable pipelines and infrastructure
• Create and maintain data models that align with business requirements, ensuring data integrity and optimal performance
• Strong technical skills in data warehousing, ETL processes, and database management systems, such as SQL, Python and dbt
• Experience with cloud-based data technologies such as AWS, Azure, or Google Cloud (BigQuery preferred)
• Knowledge of data security and privacy regulations, such as GDPR and HIPAA
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders
• Analytical and problem-solving skills, with the ability to identify and resolve data-related issues and implement effective solutions
• Bachelor's degree in computer science, engineering, or a related field

• Impact : We are actively empowering and connecting people to a better financial future. Join us if you want to help us achieve our mission.
• Work : We have a team of over 350 talented individuals in 4 markets who are hyper passionate about building innovative financial solutions and making an impact on people’s lives.
• Culture : We take our work seriously but don’t hesitate to keep things light. We can only create magic when we have a little bit of fun.
• Thrive : We launched in 2014, and now help over 10 million monthly users make the best financial decisions. Accelerate your career and become a pioneer in your field with a leading fintech company that seeks to push the boundaries of your imagination and is committed to growing your career.
• Reputation : We are backed by world-class organizations and companies and have raised over US$110 million from investors including Experian, Pacific Century Group, IFC - a member of the World Bank Group

MoneyHero Group is an equal opportunity employer. We value, support and respect all individuals and is committed to maintaining an inclusive and diverse working environment. Decisions in hiring are based on business needs, requirements of the job and individual qualifications and shall not be influenced by any consideration of race, ethnic or national origin, religion, sex (including gender identity and/or expression), age, sexual orientation, marital status, parental status, disability, genetic information, political affiliation or other applicable legally protected characteristics.

Overview

Join to apply for the Data Engineer/ Senior Data Engineer role at MoneyHero Group (Nasdaq: MNY) .

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

This is a fully remote role to be based in Malaysia. We will prioritize candidates who are based in Malaysia and do not require a work visa sponsorship.

MoneyHero Group (Nasdaq: MNY) is a market leading financial products platform in Greater Southeast Asia, reaching 9.8m monthly unique users and working with more than 270 commercial partners across five markets including Singapore, Hong Kong S.A.R., Philippines, Taiwan, and Malaysia.

The Senior Data Engineer is responsible for overseeing the design, development, implementation, and maintenance of all data-related systems, infrastructure, and processes within an organization. They will lead a team of data engineers and work closely with data scientists, business analysts, and other stakeholders to ensure that data is properly collected, processed, stored, and made available for analysis and decision-making purposes.

• Develop and implement technical data architecture and engineering strategies to support the organisation's data-driven initiatives, including data warehousing, ETL processes, and data governance.
• Build and maintain scalable and reliable data pipelines, ensuring data quality and consistency across all systems.
• Create and maintain data models that align with business requirements, ensuring data integrity and optimal performance
• Manage, guide and support junior data engineers in the development and implementation of data-related solutions
• Collaborate with data scientists, business analysts, and other stakeholders to identify data-related needs and requirements, and develop and implement solutions.
• Monitor and troubleshoot data-related issues, providing timely resolution and support to minimize downtime and disruption.

• At least 4+ years of hands-on experience in data engineering building scalable pipelines and infrastructure
• Create and maintain data models that align with business requirements, ensuring data integrity and optimal performance
• Strong technical skills in data warehousing, ETL processes, and database management systems, such as SQL, Python and dbt
• Experience with cloud-based data technologies such as AWS, Azure, or Google Cloud (BigQuery preferred)
• Knowledge of data security and privacy regulations, such as GDPR and HIPAA
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders
• Analytical and problem-solving skills, with the ability to identify and resolve data-related issues and implement effective solutions
• Bachelor's degree in computer science, engineering, or a related field

• Impact : We are actively empowering and connecting people to a better financial future. Join us if you want to help us achieve our mission.
• Work : We have a team of over 350 talented individuals in 4 markets who are hyper passionate about building innovative financial solutions and making an impact on people’s lives.
• Culture : We take our work seriously but don’t hesitate to keep things light. We can only create magic when we have a little bit of fun.
• Thrive : We launched in 2014, and now help over 10 million monthly users make the best financial decisions. Accelerate your career and become a pioneer in your field with a leading fintech company that seeks to push the boundaries of your imagination and is committed to growing your career.
• Reputation : We are backed by world-class organizations and companies and have raised over US$110 million from investors including Experian, Pacific Century Group, IFC - a member of the World Bank Group

MoneyHero Group is an equal opportunity employer. We value, support and respect all individuals and is committed to maintaining an inclusive and diverse working environment. Decisions in hiring are based on business needs, requirements of the job and individual qualifications and shall not be influenced by any consideration of race, ethnic or national origin, religion, sex (including gender identity and/or expression), age, sexual orientation, marital status, parental status, disability, genetic information, political affiliation or other applicable legally protected characteristics.

Overview

Quantuma Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Join to apply for the Data Engineer role at Quantuma

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

Build and maintain reliable ELT pipelines, data models, and data products powering analytics and AI across all K3 brands. Enable data-driven decision making through high-quality, secure data access.

• Develop ELT pipelines from SaaS/ERP systems to Azure Data Lake/Synapse
• Design and implement data models (star/medallion) with semantic layers
• Implement data quality rules, lineage tracking, and security controls
• Optimize performance and manage schema evolution with CDC
• Support cross-brand data integration while maintaining data segregation

• 4+ years in modern data engineering with cloud platforms
• Strong SQL and Python/Scala for data transformation
• Experience with Azure Data Factory/Fabric/Databricks
• Data governance and PII handling expertise

• Data freshness >95% on priority datasets
• Data quality score ≥98% on critical fields
• New connectors delivered within agreed SLAs (≤10 days)

RM 110,000 - 172,000 per year + competitive benefits package

Kuala Lumpur, Malaysia (Hybrid working model)

• Mid-Senior level

• Full-time

• Information Technology

Referrals increase your chances of interviewing at Quantuma by 2x

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

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

Hiring Local Malaysians only - CONTRACT JOB - 12 MONTHS (EXTENDABLE)

DATA ENGINEER - IT with Extensive experience in "Healthcare ".

With Minimum Experience - 3 years & Maximun Experience - 15 years

Core responsibilities include:

• Work within a highly specialized and growing team to enable delivery of data and advanced analytics system capability.
• Develop and implement a reusable architecture of data pipelines to make data available for various purposes including Machine Learning (ML), Analytics and Reporting
• Work collaboratively as part of team engaging with system architects, data scientists and business in a healthcare context
• Define hardware, tools and software to enable the reusable framework for data sharing and ML model productionization
• Work comfortably with structured and unstructured data in a variety of different programming languages such as SQL, R, python, Java etc
• Understanding of distributing programming and advising data scientists on how to optimally structure program code for maximum efficiency
• Build data solutions that leverage controls to ensure privacy, security, compliance, and data quality
• Understand meta-data management systems and orchestration architecture in the designing of ML/AI pipelines
• Deep understanding of cutting-edge cloud technology and frameworks to enable Data Science
• System integration skills between Business Intelligence and source transactional
• Define strategies with Data Scientists to monitor models post production
• Write unit tests and participate in code reviews

Improving overall production landscape as required

• Honours or Master’s degree in BSc Computer Science or Engineering or Software Engineering with solid experience in data mining and machine learning
• 5 to 15 years of work experience
• Expert in programming languages such as R, Python, Scala and Java
• Expert database knowledge in SQL a nd experience with MS Azure tools such as Data Factory, Synapse Analytics, Data Lake, Databricks, Azure stream analytics and PowerBI
• Modern Azure datawarehouse skills
• Expert Unix/Linux admin experience including shell script development
• Exposure to AI or model development
• Experience working on large and complex datasets
• Understanding and application of Big Data and distributed computing principles (Hadoop and MapReduce)
• ML model optimization skills in a production environment
• Production environment machine learning and AI
• DevOps/DataOps and CI/CD experience
• AWS experience

Overview

Join to apply for the Data Engineer role at RHB Banking Group .

• End-to-End Data Product Pipelines - Design, build, and maintain robust data pipelines that ingest, process, transform, and deliver Data Products for analytics, reporting, and operational use cases. Ensure pipelines are scalable, maintainable, and aligned with business requirements.
• Automated Data Workflow Development - Develop and orchestrate automated workflows using modern data engineering frameworks and orchestration tools to enable continuous, reliable, and timely delivery of Data Products to downstream systems and stakeholders.
• Data Preparation & Transformation - Perform comprehensive data cleansing, preprocessing, and transformation to ensure accuracy, consistency, and usability. Implement ETL/ELT processes that extract data from diverse sources, transform it into a unified structure, and load it into analytics-ready storage. Provide recommendations to optimize data usability and operational efficiency.
• Cross-Functional Collaboration & Pipeline Strategy - Work closely with business, product, and technology teams to define data requirements, design pipeline architectures, and implement solutions that meet current needs while anticipating future scalability and integration requirements.
• Data Quality, Reliability & Governance - Define and implement frameworks for data validation, monitoring, and error handling to ensure high data quality, source integrity, and reliability. Partner with governance teams to enforce compliance, metadata management, and lineage tracking across the pipeline ecosystem.

Overview

Consultant | Specialized in recruiting talents within the Insurance space

• Develop interactive and dynamic Power BI dashboards that offer meaningful insights for business and investment decisions.
• Design and maintain efficient data pipelines using Azure Data Factory, Databricks, and SQL-based solutions.
• Automate data ingestion from diverse sources into Azure Datalake and Analysis Services, enabling real-time and scalable analytics.
• Collaborate closely with key stakeholders — especially the Credit Risk team — to understand data requirements and deliver solutions that matter.
• Champion data quality , governance, and best practices while keeping your skills sharp with the latest tech trends.
• Provide support and training to end-users, helping teams interpret insights and make data-driven decisions confidently.
• Bachelor's in Computer Science, IT, or related field.
• Power BI – custom visuals, DAX, data modeling
• SQL, Python, PySpark
• Solid understanding of data modeling, data governance, and data pipeline optimization .
• Experience in the asset management or financial domain is highly valued.
• Proactive mindset with sharp analytical and problem-solving skills.
• A collaborative and communicative approach – you enjoy working with cross-functional teams and solving business challenges with data.

• Mid-Senior level

• Full-time

• Information Technology
• Industries: Insurance

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

We are keeping the focus on the Data Engineer role with responsibilities, qualifications, and typical hiring expectations. Referrals and contact methods mentioned in this listing are intended to support the recruitment process.

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.

• Create and maintain the optimal data pipeline architecture.
• Assemble large, complex data sets that meet functional/non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data, and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.

• We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets.
• Experience performing root cause analysis of internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured data sets.
• Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
• A successful history of manipulating, processing, and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including MongoDB, Postgres, and Cassandra, AWS Redshift, Snowflake.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with AWS cloud services: EC2, EMR, ETL, Glue, RDS, Redshift.
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, etc.
• Knowledge of data pipelines and workflow management tools like Airflow.

iZeno was founded in 2003 to provide enterprises with custom-built technology solutions they need to keep their business running seamlessly. Logicalis Asia, part of the Logicalis Group, a leading international IT solutions and managed services provider, has acquired a majority stake in iZeno , a company specialising in digital transformation, application modernisation, DevOps, customer experience and hybrid cloud solutions.

With a team of 120+ in-house innovators, we have delivered over 500 Enterprise Solutions, implemented, and optimized to enable smarter insights. Our team draws on industry experiences in accomplishing a portfolio of mission-critical applications, integrating Cloud, CRM, Data Analytics, and other leading technologies with our clients' existing IT frameworks.

With leading presence in the region, headquartered in Singapore and operation in Malaysia, Indonesia, Thailand and Philippines, no project is too complex for us, and our team is always ready for a new challenge.

Responsibilities:
• Analyze, design and implement solutions related to Data Analytics, Data Warehouse, Data Lake, Big Data and Data Science
• Collaboratively work with customers, project team members and partners in defining business & technical requirements and specifications
• Work with the project team to translate requirements into project deliverables & prioritization
• Planning and executing both client and internal projects, following through entire software development lifecycle
• Lead functional discussions and leverage your knowledge of best practices
• Perform project implementation offsite and onsite
• Maintain and support new and/or existing customers
• Manage customers’ requirements and expectations
• Participate in presales activities, propose solutions to potential customers in the form of Solution Proposal or Scope-of-Work (SOW) and deliver presentations/demonstrations when needed
• Research & development of relevant knowledge and skillset

Requirements :
• Candidate must possess at least a Diploma, Advanced/Higher/Graduate Diploma, Bachelor’s Degree, Post Graduate Diploma, Professional Degree, Computer Science/Information Technology/Information Systems or equivalent
• At least 2 years of experience in the area of Data Analytics/Data Warehouse/Data Lake/Big Data/Data Science with client-facing roles
• Candidates with more experiences will be considered for Senior position
• Hands-on and successful project delivery experience in related space is preferable
• Good logical and analytical thinking
• Adaptable, meticulous, innovative, independent and self-motivated, with excellent problem-solving skills
• Experience in operating in Linux/Unix environment will be an added advantage
• Required skills: Java, Advanced SQL; Added advantage with Python, R
• Added advantage with knowledge or hands-on experience in Talend, Confluent, MongoDB, Snowflake, Dataiku, TIBCO Jasper soft or Spotfire

What we have to offer
o An exciting job with latest technology
o Continuous training & development of soft and hard skills
o A competitive salary, inline with your profile
o A package of benefits including healthcare insurance
o An awesome team of colleagues & regular team building activities
o The ability to work with the world’s leading companies in technology and innovation
o An environment where we embrace openness, transparency and grab every opportunity to have fun, while always doing what is right for our customers and partners.

(i) iZeno will never request recruitment fees from candidates under any circumstances. Please be cautioned of fraudulent activity including the requesting for money by perpetrators in exchange for interviews or employment opportunities with iZeno. Please note that these fraudulent actions constitute a crime and an unlawful infringement on iZeno’s brand and intellectual property rights, and we will not hesitate to take action(s) against such perpetrators in accordance with the fullest extent of the law.As a responsible organization, iZeno places great importance on conducting ethical and aboveboard recruitment processes. We advise all potential candidates to remain vigilant and report any suspicious activity encountered during their job search.

Aspartofanyrecruitmentprocess,wecollectandprocesspersonaldatarelatingtojobapplicants. Wearecommittedtobeingtransparentabouthowwecollectandusethatdataandtomeetingourdataprotectionobligations.Byapplyingtothispostandsendingusyourresume,youagreetothecollection,useand/ordisclosureofyourpersonaldatainthemannerassetoutinourDataProtectionNoticeforJobApplicantswhichcanbefound

Logicalisiscommittedtoprotectingyourprivacy.