What Jobs are available for Data Engineer in Kuala Lumpur?

Data Engineer (Backend + Data Warehousing) Build and maintain backend services in

Golang

for data ingestion, APIs, and integrations.

Develop and optimize ETL/ELT pipelines to process large volumes of data daily.

Write efficient SQL queries and optimize performance for cost and speed.

Design schemas with proper partitioning and clustering for analytics workloads.

Support deployment and maintenance of data warehouse / OLAP clusters (e.g.,

BigQuery, StarRocks ).

Collaborate with senior engineers and architects to implement best practices.

Contribute to monitoring and alerting setups for pipelines and workloads.

Responsibilities

Build and maintain backend services in

Golang

for data ingestion, APIs, and integrations.

Develop and optimize ETL/ELT pipelines to process large volumes of data daily.

Write efficient SQL queries and optimize performance for cost and speed.

Design schemas with proper partitioning and clustering for analytics workloads.

Support deployment and maintenance of data warehouse / OLAP clusters (e.g.,

BigQuery, StarRocks ).

Collaborate with senior engineers and architects to implement best practices.

Contribute to monitoring and alerting setups for pipelines and workloads.

Requirements

2–4 years of professional software development experience.

Hands‑on experience with

Golang backend development .

Proficiency in

SQL

and query optimization.

Familiarity with at least one

cloud data warehouse / OLAP platform

(e.g., BigQuery, StarRocks, Snowflake, Redshift, ClickHouse).

Knowledge of ETL/ELT tools (Airflow, dbt, or custom pipelines).

Basic cloud experience (GCP, AWS, or Azure).

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

About Us 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.

About the Job 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.

The Senior Data Engineer will

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.

In this role, we are looking for someone with

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

What can you expect from us? 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

EEO Statement 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.

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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. About Us

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 Job

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. Responsibilities

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. Qualifications

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 What can you expect from us?

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 EEO Statement

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.

#J-18808-Ljbffr

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

About Us 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.

About the Job 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.

The Senior Data Engineer will

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.

In this role, we are looking for someone with

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

What can you expect from us? 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

EEO Statement 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.

#J-18808-Ljbffr

Established in Kuala Lumpur since 2015, Mandrill Tech is a fast growing technology company. It serves many clients from various lines of industry. Being an MSC certified company, Mandrill Tech is recognized as leaders in ICT industry development in Malaysia. It reflects our commitment to be the frontliner of technology innovation and advancements. The Role

You will be responsible for: Develop scalable data architectures and systems that can handle large volumes of data and support real-time processing and analytics. Collect, extract, transform, and load data from various sources, including databases, data warehouses, and data lakes. Ensure data quality and integrity through the use of validation and cleansing processes and implement data security and privacy measures. Collaborate with data scientists, analysts, and business users to understand their data needs and requirements and provide them with access to the data they need. Develop and maintain ETL processes, data pipelines, and other data integration tools and technologies. Perform data modelling and database design and optimize data structures and queries for performance and scalability. Monitor and maintain data infrastructure and systems to ensure they are operating at peak performance and availability. Stay up to date with new and emerging technologies and techniques in the data engineering field, and recommend new tools and technologies as needed. Participate in team meetings, code reviews, and other collaborative activities to ensure the successful development and implementation of data infrastructure and systems. Ideal Profile

Bachelor's degree in Computer Science, Electrical Engineering, or related field (required), Master’s degree in Computer Science or related field (preferred). Strong knowledge of data management and database technologies, such as SQL, NoSQL, and Spark. Minimum 5 years of experience with data integration tools and technologies, such as ETL, data pipelines, and data warehousing. Programming Languages:

Experience developing with Python for data processing, scripting, and automation. Data Processing:

Experience with batch and real-time data processing technologies, including Apache Spark and Apache Flink. Data Transformation:

Proficient in data cleaning, modeling, and transformation using tools and libraries like Pandas, dbt, and Spark. Database:

Hands-on experience with PostgreSQL. Cloud Familiarity:

Familiarity with cloud platforms, preferably AWS. What's on Offer?

Work alongside & learn from best in class talent Excellent career development opportunities Great work environment

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Overview

We are seeking a Senior Data Engineer to lead the design and implementation of a scalable data architecture tailored to our growing application ecosystem. This is a high-impact role that requires a strong foundation in data lake and data warehouse design, along with the ability to evaluate multiple technologies and recommend the best-fit solution for our business needs. You will work closely with engineering, analytics, and business stakeholders to assess our current data sources, propose a unified architecture, and implement robust pipelines and storage strategies to enable advanced analytics and business intelligence. Key Responsibilities

Analyze the current ecosystem involving multiple source databases (SQL, NoSQL, APIs, etc.) and identify integration points for a unified data platform. Evaluate and compare potential data lake and data warehouse solutions (e.g., Hive, Delta Lake, BigQuery, Snowflake, Redshift) based on cost, performance, scalability, and team needs. Propose and implement the most appropriate architecture for both batch and real-time data ingestion and processing. Design and build efficient, secure, and reliable ETL/ELT pipelines for structured and semi-structured data. Ensure the resulting architecture supports data discoverability, query performance, lineage tracking, and governance. Collaborate with data analysts, product teams, and backend developers to ensure seamless data access and usability. Define and enforce standards around data quality, security, and compliance. Stay up to date with industry best practices and emerging technologies in data engineering and cloud infrastructure. Requirements

5+ years of professional experience in data engineering or backend data-intensive roles. Proven experience in designing and implementing data pipelines, data lakes, and data warehouses in cloud or hybrid environments. Strong command of SQL, data modeling, and performance tuning. Hands-on experience with data pipeline tools such as Apache Airflow, Spark, or equivalents. Familiarity with various data storage and processing systems including traditional RDBMS, NoSQL, and streaming platforms (Kafka, Kinesis, etc.). Experience in evaluating and selecting data storage and compute platforms (e.g., Hive, Redshift, Snowflake, Delta Lake). Experience with cloud platforms such as AWS, GCP, or Azure. Excellent communication and stakeholder management skills. Nice to Have

Experience with Hive, HDFS, or Hadoop ecosystem components. Background in data governance, security frameworks, and compliance (GDPR, HIPAA, etc.). Proficiency in scripting or programming languages like Python, Scala, or Java. Experience with real-time data processing architectures. Company

ONL Biz Solutions Sdn Bhd is a young and innovative IT software warehouse company based in Kuala Lumpur. We are driven by a vision to empower the younger generation in the technology era. Our team consists of passionate programmers and designers who thrive on new challenges and constantly seek innovation. We pride ourselves on being a dynamic and rapidly expanding company. As part of our mission to grow, we are actively seeking talented individuals to join our team in Kuala Lumpur. If you aspire to advance your career and become a team lead/manager within two years, we encourage you to submit your resume for consideration. We look forward to meeting you and exploring potential opportunities.

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Job Description We are seeking a highly skilled Data Engineer with strong expertise in data processing, database technologies, and Databricks development. The ideal candidate will be responsible for building, optimizing, and maintaining scalable ETL processes while implementing DevOps best practices for automation and workflow efficiency.

Key Responsibilities

Design, develop, and optimize

ETL processes

using

Databricks

to support large-scale data processing and analytics.

Work with

database technologies , including

Microsoft SQL ,

Oracle , and

cloud-native databases , to manage and optimize data storage and retrieval.

Leverage

SQL

(Level 2 proficiency) for data extraction, transformation, and analysis.

Utilize

Docker

for containerization and efficient packaging of Databricks environments and components.

Apply strong

problem-solving

and

debugging

skills to identify and resolve issues in data pipelines and workflows.

Implement

DevOps practices

such as

CI/CD automation

and

version control

to streamline deployment and management of Databricks workflows.

Collaborate with cross-functional teams to ensure data integrity, performance optimization, and alignment with business objectives.

Required Skills and Qualifications

Proven experience in

data processing

and

ETL development

using Databricks.

Proficiency in

Microsoft SQL ,

Oracle , and

Linux

environments.

Hands‑on experience with

Docker

for containerization.

Strong knowledge of

DevOps principles , including

CI/CD pipelines ,

automation , and

version control (Git) .

Excellent analytical, problem‑solving, and debugging abilities.

Strong communication and collaboration skills.

Seniority level Associate

Employment type Full-time

Job function Information Technology

Industries IT Services and IT Consulting

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iSoftStone Federal Territory of Kuala Lumpur, Malaysia

HR & Talent Acquisition Professional | 7+ Years’ Experience | Open for New Roles Responsibilities

Design, build, and maintain efficient, scalable data architectures and pipelines.

Process and transform large-scale datasets, ensuring data quality and integrity.

Optimize ETL processes to enhance data processing efficiency and reliability.

Collaborate with the data analytics team to provide necessary data support, ensuring timeliness and accuracy.

Work with product and engineering teams to drive data‑driven decision‑making and product optimization.

Design and implement data warehouse solutions, supporting both data lake and data warehouse architectures.

Ensure data security, privacy, and compliance, adhering to best practices in data management.

Qualifications

At least 3 years of experience.

Required Skills

Proficiency in SQL.

Excellent communication, coordination, and teamwork skills.

Preferred Skills

Proficiency in programming languages (SQL/Python/Java/Shell) and scripting development experience is preferred.

Seniority level: Associate

Employment type: Contract

Industries: IT Services and IT Consulting

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About the Role Join to apply for the

Data Engineer

role at

The Access Group

and help us grow by leveraging your passion and expertise.

What Access offers you We provide a blended approach to office working with collaboration across thriving offices. We invest in the development of our people, offering opportunities to accelerate your career.

On top of a competitive salary and 25 days of leave per year, you will enjoy health contributions, charity days, and a range of benefits that suit your life and work.

Responsibilities

Provide high‑quality, robust datasets to underpin Engineering Operations.

Transform raw data into usable format through cleansing, aggregation, filtering, and enrichment.

Consume data from APIs, files, OData, graph databases, etc., and produce validated model‑ready metrics.

Design and implement ETL pipelines that integrate with systems and support modern data workflows.

Handle both structured and unstructured data sources.

Collaborate with cross‑functional teams to deliver comprehensive data solutions.

Drive innovation by identifying automation opportunities and experimenting with new tools and technologies.

Required

3‑4 years of data engineering experience, especially with cloud platforms like Databricks, Spark, and Lakehouse concepts.

Strong SQL and Python skills.

Experience with API development and data ingestion integration.

Understanding of ETL processes and pipeline design.

Knowledge of CI/CD and DevOps practices for data engineering.

Experience with Delta Lake and modern data lake architecture.

Strong communication and problem‑solving skills.

Experience implementing thorough testing processes to ensure high‑quality deliverables.

Good to Have

Experience with Neo4j or other graph databases for complex relationship modelling.

Understanding of Generative AI.

Knowledge of MCP (Model Context Protocol) or similar AI communication protocols.

Experience with modern workflow orchestration tools.

Experience with Power BI data modelling (Star schema) or similar modelling theory.

Experience with Azure DevOps or Jira for work and issue tracking.

Experience with cloud‑native data engineering solutions.

About Access Group The Access Group is a UK‑headquartered provider of business management software, empowering over 160,000 organisations worldwide. With around 8,500 employees, we deliver innovative cloud solutions and AI‑enabled products that transform business technology.

Inclusion & EEO Access is committed to creating a welcoming and inclusive environment where everyone can thrive. We wholeheartedly believe in equality for all and the transformative power of diversity.

Location Petaling Jaya, Selangor, Malaysia

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