data-engineer

QS Quacquarelli Symonds is a global leader in higher education performance and insights, offering solutions in student recruitment, reputation management, and employability. The company partners with universities, business schools, and governments worldwide to enhance institutional goals and performance. With a significant focus on digital innovation and sustainability, QS provides data-driven tools and advisory services to help institutions understand and amplify their reach and impact. QS is renowned for its world university rankings and extensive expertise in the higher education sector.

Founded in 1990, QS Quacquarelli Symonds is now the leading global provider of specialist higher education and careers information and solutions.   We ensure student candidates have access to helpful tools and the latest independent data and insights so they can make informed decisions about their education. We work with more than 2,000 of the world's leading higher education institutions and more than 12,000 employers, spanning across 50 countries. We provide higher ed services to the students and clients we serve at each academic stage; first degree, master’s, MBA – including Executive-level – and early career. Our Mission:  To enable motivated people anywhere in the world to fulfil their potential through educational achievement, international mobility and career development. ​ Our Values: We’re helpful and collaborative, providing universities and students with the insights and technology they need to reach their full potential.​ We’re authentic and approachable, conducting and sharing our own research and listening to what our audience needs. ​ We’re independent and professional, facilitating partnerships and developments across the globe while staying impartial. ​ We’re ambitious and innovative, dedicated to developing the best solutions for our clients and partners.​ 

QS Quacquarelli Symonds

• Lead the design and creation of robust data models and structures that lay the foundation for reliable analytics and insights, enabling teams to make informed decisions and drive progress.
• Develop and maintain efficient data pipelines that integrate both real-time and streaming data, ensuring the business can respond quickly to evolving needs and opportunities.
• Launch and optimise data delivery solutions, providing secure, scalable access to information for colleagues and partners, and supporting innovation across the organization.
• Improve data quality and transparency by embedding rigorous validation and documentation throughout all workflows, building trust and clarity for every stakeholder.
• Support the enrichment of knowledge graphs by modeling relationships and resolving entities, enhancing data connectivity and unlocking deeper insights for teams and the wider mission.
• Apply business acumen to interpret complex data needs, ensuring every technical solution directly contributes measurable value to both the team and the organization’s goals.
• Partner with cross-functional teams to uphold data integrity, manage schemas, and ensure compliance with best practices, fostering a culture of collaboration and continuous learning.
• Mentor and guide team members, sharing expertise and encouraging skill development to support individual growth and collective achievement.
• Document processes and workflows thoroughly to promote transparency, consistency, and ongoing improvement, empowering others to build on your work.
• Take ownership of any additional responsibilities within the role’s purpose and scope, including tasks that may arise outside standard business hours, contributing to the team’s adaptability and success.

Senior Data Engineer

Senior Data Engineer designing and delivering scalable data pipelines at QS. Implementing data solutions to empower higher education analytics and insights.

• Design, build, and maintain high‑quality data assets by combining and harmonising third‑party datasets, proprietary QS data, scraped collections, and internal data sources
• Develop, optimise, and maintain dbt models, tests, and documentation to ensure transparency, reproducibility, and engineering excellence
• Partner closely with the Data Lead to ensure: comprehensive data lineage from raw ingestion through to final assets, robust source‑level and transformation‑level data quality checks, consistent metadata capture and governance
• Apply advanced data modelling techniques to unify heterogeneous data into coherent, scalable structures that support ranking methodologies, research insights, and analytics
• Profile and validate source datasets, conducting thorough statistical, structural, and semantic checks before asset integration
• Build and maintain standardised transformation frameworks that improve trust, comparability, and traceability across QS’s data assets
• Collaborate with the wider Data Engineering team to ensure alignment with platform standards, transformation principles, and shared engineering practices
• Support data scientists, analysts, and BI teams by delivering well‑documented, dependable data assets that meet evolving analytical needs
• Uphold rigorous data governance by embedding validation and documentation throughout workflows
• Document data models, transformation logic, and operational procedures clearly and consistently
• Mentor team members in dbt, modelling, asset development, and best practices in data quality and lineage

Senior Data Engineer – 12-month contract

Senior Data Engineer at QS specializing in designing and building high‑quality data assets. Working in a hybrid model, effectively contributing to international higher education analytics.

• Design and maintain data pipelines, including integrating real-time and streaming data to support dynamic business needs.
• Build and optimize data transformations, ensuring that data quality and lineage are consistently embedded throughout all processes.
• Contribute to the design and development of core data models and structures for our data lakehouses and marts, implementing and adhering to architectural best practices.
• Develop and maintain APIs and delivery mechanisms to serve both internal and external consumers, ensuring reliable and scalable data access.
• Support knowledge graph enrichment by modeling relationships, performing entity resolution, and integrating vector search to enhance data connectivity and insights.
• Apply business acumen to effectively interpret data requirements, ensuring that technical solutions align with the underlying business purpose and add measurable value.
• Implement data quality tests, data contracts, and schema management to maintain high standards of data integrity and consistency.
• Document pipelines and workflows, contributing to comprehensive metadata and lineage documentation for transparency and ongoing improvement.

Data Engineer

Data Engineer designing, building, and maintaining data pipelines and APIs for QS's data and analytics platforms. Collaborating with data scientists and business intelligence to drive data-driven decisions.

Vistra is a leading provider of essential business services, specializing in global entity management, international expansion, compliance, and administrative support for companies and funds. With a presence in over 50 markets and a strong focus on streamlining operations, Vistra helps businesses navigate complexities in tax, accounting, and employment, ensuring efficient and compliant growth across borders. Their innovative solutions are designed to alleviate operational frustrations, allowing clients to concentrate on their core objectives.

Our purpose is progress. 

Vistra is a leading provider of essential business services to help companies and private capital funds grow across the entire business and investment lifecycle. 

Here at Vistra, our purpose is progress. As a close ally to our clients, we exist to remove the friction that comes from the complexity of global business – to help our clients achieve progress without friction.  We partner with companies and private capital managers along the corporate and private capital lifecycle. From HR to tax and from legal entity management to regulatory compliance, we quietly fix the operational and administrative frustrations that hamper business growth.  With over 9,000 experts in more than 50 markets, we can accelerate progress, improve processes, and reduce risk, wherever your ambition takes you.

VISTRA

• Oversee the end-to-end implementation process, from project planning to migration and final execution, ensuring on-time delivery and alignment with client requirements.
• Develop detailed project implementation and data migration plans, coordinate cross-functional teams, and manage resources to maintain clear timelines and milestones.
• Serve as the primary point of contact for customers throughout the implementation cycle, addressing concerns promptly and providing regular updates on progress.
• Facilitate data migration and system configuration, ensuring accuracy, security, and minimal disruption to client operations.
• Design and propose strategies to streamline and accelerate migration processes, including automation opportunities and optimized mapping workflows.
• Manage backend data structures and workflows, working closely with technical teams to ensure data integrity, compatibility, and readiness for migration and system integration.
• Identify potential risks or challenges, proactively develop mitigation strategies, and escalate issues when necessary.
• Conduct post-implementation reviews, gathering feedback to drive continuous improvement in both product and processes.
• Collaborate closely with the Product and Engineering teams to relay customer insights, shaping future product enhancements and ensuring customer expectations are met.
• Maintain thorough project documentation, including meeting notes, status reports, and risk assessments, to ensure transparency and effective knowledge transfer.
• Manage backend data mapping, extraction, and transformation processes, ensuring data integrity and readiness for analysis and reporting.
• Apply understanding of AI tools and techniques to enhance implementation workflows, including the ability to build, operate, or maintain AI agents for automation and efficiency.

Data Migration Engineer

Data Migration Engineer overseeing product deployment and data migration at Vistra. Ensuring project timelines and managing customer satisfaction through effective implementation processes.

Quantexa is a company offering a Decision Intelligence Platform that automates and enhances decision-making by harnessing the power of Artificial Intelligence. Their platform involves advanced data capabilities such as data ingestion, entity resolution, and graph analytics, aimed at providing actionable insights particularly in tackling business challenges across industries like banking, insurance, telecommunications, and the public sector. Quantexa specializes in solutions for data management, customer intelligence, risk management, financial crime, and fraud prevention, leveraging AI to modernize areas like anti-money laundering (AML) processes and Know Your Customer (KYC) checks. Their innovative approach helps organizations build a connected and contextual data foundation to enhance decision-making and operational effectiveness.

Quantexa’s Contextual Decision Intelligence is a new approach to data that gives organizations the ability to connect internal and external data sets to provide a single view, enriched with intelligence about the  relationships between people, places and organizations. Our platform dynamically generates the context needed  to automate millions of operational decisions, at scale, across multiple business units, including Anti-Money Laundering, Know-Your-Customer, Fraud, Credit Risk and Customer Intelligence. 

Quantexa is a global business with offices in London, New York, Boston, Brussels, Toronto, Singapore, Melbourne  and Sydney.

Quantexa

**What you’ll be doing.**

- Writing defensive, fault tolerant and efficient code for production level data processing systems.
- Configuring and deploying Quantexa software using tools such as Spark, Hadoop, Scala, Elasticsearch, with our platform being hosted on both private and public virtual clouds, such as Google cloud, Microsoft Azure and Amazon.
- You’ll be a trusted source of knowledge for your clients. And you’ll articulate technical concepts to a non-technical audience so they can make key decisions.
- Collaborate with both our solution architects and our R&D engineers to champion solutions and standards for complex big data challenges. You proactively promote knowledge sharing and ensure best practice is followed.


Data Engineer joining Quantexa to implement innovative data solutions in multiple domains. Collaborating with teams to manage and cleanse high volume data while solving business problems.

Love, Bonito is a fashion retail company offering a range of women's clothing and accessories. The brand specializes in designing apparel for everyday wear and special occasions, with collections that include dresses, tops, knitwear, and more, tailored for real women's lives. Love, Bonito provides an online shopping experience with loyalty rewards and exclusive member benefits, catering primarily to customers in Australia and Singapore. They focus on contemporary styles and trends, aiming to make every woman feel confident in their fashion choices.

We pride ourselves as the best and largest vertically integrated, omni-channel women's fashion brand in the region. Founded in 2010, we have grown to 300 people strong, with our headquarters in Singapore, and country offices in Indonesia, Malaysia and Hong Kong, omni-channel presence across the 5 markets, retail franchise in Cambodia, and international e-commerce to 10 other markets - China, Australia, New Zealand, US, Canada, Japan, Philippines, Vietnam, Thailand and Brunei. The Love, Bonito team is a passionate, dynamic, innovative and fun-loving family. From fashion-lovers, savvy marketers to tech whizzes, we have a diverse team of talented individuals with one unified focus - our customer, the Love, Bonito woman. With big dreams and a grand mission, we’re looking for great like-minded people to join us - people who are as passionate, fearless and entrepreneurial.

Love, Bonito

• Update documentation of existing data pipelines to establish clear operational standards and knowledge transfer 
• Refactor legacy code to improve scalability, performance and maintainability 
• Optimise aggregation layers and transformation logic for reporting workloads
• Reduce pipeline runtimes through strategic improvements in query optimisation, partitioning and resource allocation 
• Review and enhance data models supporting analytics, reporting and machine learning use cases 
• Design and implement efficient data structures that balance query performance with storage costs 
• Collaborate with analytics and data science teams to ensure data models meet downstream requirements
• Implement comprehensive data quality checks and validation frameworks within pipelines 
• Develop unit tests for data transformations to ensure correctness and prevent regressions
• Monitor data integrity throughout the pipeline lifecycle 
• Establish and maintain data quality metrics and alerting mechanisms
• Troubleshoot pipeline failures and implement root cause analysis 
• Design and deploy preventative measures to minimize future incidents 
• Maintain pipeline uptime targets of 99%
• Ensure SLA adherence across critical data workflows 
• Maintain data security, governance and compliance standards across all data assets 
• Implement access controls and data lineage tracking 
• Ensure adherence to regulatory requirements and internal data policies

Data Engineer at Love, Bonito optimizing data pipelines and ensuring data quality for analytics. Collaborating on data architecture, operations, and compliance for effective data management.

Founded in 1990, QS Quacquarelli Symonds is now the leading global provider of specialist higher education and careers information and solutions.  
 
We ensure student candidates have access to helpful tools and the latest independent data and insights so they can make informed decisions about their education. We work with more than 2,000 of the world's leading higher education institutions and more than 12,000 employers, spanning across 50 countries. We provide higher ed services to the students and clients we serve at each academic stage; first degree, master’s, MBA – including Executive-level – and early career. 


Our Mission:  

To enable motivated people anywhere in the world to fulfil their potential through educational achievement, international mobility and career development. ​ 


Our Values: 

We’re helpful and collaborative, providing universities and students with the insights and technology they need to reach their full potential.​ 

We’re authentic and approachable, conducting and sharing our own research and listening to what our audience needs. ​ 

We’re independent and professional, facilitating partnerships and developments across the globe while staying impartial. ​ 

We’re ambitious and innovative, dedicated to developing the best solutions for our clients and partners.​ 

• Design and maintain data pipelines, including integrating real-time and streaming data to support dynamic business needs.
• Build and optimize data transformations, ensuring that data quality and lineage are consistently embedded throughout all processes.
• Contribute to the design and development of core data models and structures for our data lakehouses and marts, implementing and adhering to architectural best practices.
• Develop and maintain APIs and delivery mechanisms to serve both internal and external consumers, ensuring reliable and scalable data access.
• Support knowledge graph enrichment by modeling relationships, performing entity resolution, and integrating vector search to enhance data connectivity and insights.
• Apply business acumen to effectively interpret data requirements, ensuring that technical solutions align with the underlying business purpose and add measurable value.
• Implement data quality tests, data contracts, and schema management to maintain high standards of data integrity and consistency.
• Document pipelines and workflows, contributing to comprehensive metadata and lineage documentation for transparency and ongoing improvement.
• Any other duties that fall within the purpose and scope of the role, including tasks that may arise outside of standard business hours.

Data Engineer designing and maintaining data pipelines and APIs for QS's analytics platforms. Collaborating closely with data science teams to enable data-driven decision-making.

• Lead the design and creation of robust data models and structures that lay the foundation for reliable analytics and insights, enabling teams to make informed decisions and drive progress.
• Develop and maintain efficient data pipelines that integrate both real-time and streaming data, ensuring the business can respond quickly to evolving needs and opportunities.
• Launch and optimize data delivery solutions, providing secure, scalable access to information for colleagues and partners, and supporting innovation across the organization.
• Improve data quality and transparency by embedding rigorous validation and documentation throughout all workflows, building trust and clarity for every stakeholder.
• Support the enrichment of knowledge graphs by modeling relationships and resolving entities, enhancing data connectivity and unlocking deeper insights for teams and the wider mission.
• Apply business acumen to interpret complex data needs, ensuring every technical solution directly contributes measurable value to both the team and the organization’s goals.
• Partner with cross-functional teams to uphold data integrity, manage schemas, and ensure compliance with best practices, fostering a culture of collaboration and continuous learning.
• Mentor and guide team members, sharing expertise and encouraging skill development to support individual growth and collective achievement.
• Document processes and workflows thoroughly to promote transparency, consistency, and ongoing improvement, empowering others to build on your work.
• Take ownership of any additional responsibilities within the role’s purpose and scope, including tasks that may arise outside standard business hours, contributing to the team’s adaptability and success.

Senior Data Engineer at QS leading design and implementation of scalable data pipelines and services for global education insights. Collaborating with teams to drive meaningful impact in data engineering.

Hybrid Data Engineers roles in Malaysia

Browse 8 hybrid data engineers roles hiring in Malaysia plus related opportunities such as data architect, analytics engineer and product analyst.

8 jobs found

Senior Data Engineer

QS Quacquarelli Symonds

Senior Data Engineer – 12-month contract

QS Quacquarelli Symonds

Data Engineer

QS Quacquarelli Symonds

Data Migration Engineer

VISTRA

Data Engineer

Quantexa

Data Engineer

Love, Bonito

Data Engineer

QS Quacquarelli Symonds

Senior Data Engineer

QS Quacquarelli Symonds