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Senior Data Engineer

Qs · Kuala Lumpur, 50470, Malaysia · Hybrid · Active · BambooHR

Job facts

FieldValue
CompanyQs
TitleSenior Data Engineer
Normalized title-
Department / teamData & Analytics
LocationKuala Lumpur
Work modelHybrid / Hybrid
Employment typeFull Time
Salary-
Statusactive
ATS providerBambooHR
Posted / first seen2026-03-11 / 2026-05-30
Changed / last seen2026-05-30 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Qs.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through BambooHR.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Kuala Lumpur.Open
Department jobsActive postings in Data & Analytics.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyQs
Sourcef2a0d97d-af95-4118-91ca-d9dc26e526ca
ATS providerBambooHR

Description

R ole: Senior Data Engineer Location: Kuala Lumpur, Malaysia Job type: Full time, permanent Working arrangement: Hybrid This position offers a hybrid work model, allowing flexibility between working from home and our office. Typically, employees are expected to work 2 days in the office per week. Why QS? At QS, we believe that work should empower you. That’s why we foster a flexible working environment that encourages every employee to own their career whilst thriving personally and professionally. Our company values underpin everything we do – we collaborate, respect and support each other. It’s our mission to empower motivated people around the world to fulfil their potential through higher education, ensuring that everyone has access to opportunities that change lives. Our diversity makes us stronger. By sharing our experiences, we learn from one another and achieve more together, driving progress across the sector. At QS, you’ll be responsible for implementing real change in the international higher education landscape. You’ll take on meaningful challenges that see a positive impact across the business and the wider sector. We’re confident you’ll feel right at home here. QS was named as one of Newsweek’s Top 100 Most Loved Workplaces® in the UK (October 2023), recognising the respect, trust and appreciation that drive our culture every day. And as a gold-accredited Investors in People organisation – putting us among the top 28% of workplaces globally – it’s official: QS is a place where everyone can thrive. As a Senior Data Engineer, this is what you’ll be doing: At QS, we believe that empowering people through data drives meaningful impact in higher education worldwide. As a Senior Data Engineer, you will take a leading role in designing, building, and delivering scalable data pipelines, APIs, and services at the core of QS Cerebrum, and our enterprise analytics and AI platforms. You will establish engineering standards, embed robust governance and data quality measures into all pipelines, and actively mentor fellow engineers to elevate team performance. In this position, you will work closely with data science and business intelligence teams to develop effective, data-driven solutions that address complex business needs and support our global mission. Your strong leadership and communication skills will be essential in collaborating with stakeholders, guiding team members, and contributing to QS’s long-term strategic objectives. This is an exciting opportunity to shape the future of education by joining a dynamic Data Engineering team. If you are passionate about growing, innovating, and making a tangible difference in a diverse and supportive environment, we invite you to envision yourself in this impactful role at QS.            Role responsibilities: 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. Key skills and experience: We welcome candidates from all backgrounds, including those with non-traditional career paths and transferable skills. If you are passionate about data engineering and eager to contribute to a collaborative, innovative environment, we encourage you to apply. Proven ability to lead small teams and deliver results through professional, educational, or volunteer experience in technology or related fields Resourceful problem-solver who thrives in dynamic, evolving environments Effective communicator with strong interpersonal and leadership skills, fostering collaboration and inclusivity Demonstrates sound business judgment, balancing technical solutions with practical business needs Proficiency in SQL and Python, with hands-on experience in cloud data platforms (such as Snowflake or equivalent) Experience with orchestration tools (e.g., Glue, Airflow, dbt) supporting reliable data workflows Knowledge of streaming frameworks (such as Kafka, Snowpipe) and understanding of real-time data delivery Awareness of machine learning and artificial intelligence workflows, including feature stores and platforms like Sagemaker Understanding of data modeling concepts, including graph-based design Familiarity with REST/GraphQL APIs and approaches to optimize data delivery and performance Experience in higher education technology is appreciated but not required. We welcome applicants who bring fresh perspectives and transferable skills from other industries or disciplines. Join us in shaping the future of data engineering within an inclusive and supportive team environment. So, who are we and what do we do? QS is the world leader in higher education services, analytics, insights and intelligence. From consultancy to student mobility, academic partnerships to branding solutions, our services power both institutional and individual success. We’re behind the world’s most widely read university rankings (Meltwater 2023). Our QS World University Rankings® reach hundreds of millions, shaping decisions and guiding futures. Since launching in 1990, our impact and influence have only grown. Today, we work with more than 2,000 of the world’s leading higher education institutions, over 12,000 employers, and governments seeking change and socioeconomic development through higher education. Join QS and you’ll join an 800-strong community of problem-solvers, creators, collaborators and change-makers based in 40+ countries and 11 international offices, including Australia, Malaysia, India, Romania, Singapore, France, Germany, the USA and our headquarters in London. With every talented new hire, business acquisition and bold initiative, we’re strengthening our reach and delivering even greater value to institutions and learners worldwide. Are you ready to shape the future of higher education? We take investing in our people very seriously. As standard you will have: Competitive base salary Access to an annual bonus scheme (for qualifying roles only) 20 days annual leave, plus public holidays Generous maternity and paternity leave Access to an Employee Assistance Programme (EAP) and MiCare health A vibrant social environment and multicultural and multinational culture But that’s not all. Outside of these standard benefits we also offer resources to allow professional growth and wellness initiatives to nurture a healthy mindset: Free subscription to the Calm App – the #1 app for sleep, meditation, and relaxation A focus on welfare which is led by our global wellness team, with mental health first aiders globally Access to a variety of diversity and inclusion initiatives and groups Strong recognition and reward programs – including a peer-to-peer recognition platform, quarterly and annual QS Applaud Awards, Connect with your Career annual PD event Support for volunteering and study leave Free subscription to LinkedIn learning – with over 5000 courses and programmes at your fingertips Options to join our outstanding global Mentorship programme Brand new breakout and relaxing spaces in office Like what you’ve heard? Great, apply now! As a candidate, we know the application and interview process can be daunting and so it’s important that you have a great experience with us. Our dedicated Talent Team will work hard to ensure you are fully informed at all stages and you are really excited by this opportunity to do meaningful work in the education space. Equal opportunities QS Quacquarelli Symonds is proud to be a fair and equal organisation where everyone has the same opportunity to achieve their full potential, irrespective of their background or personal attributes. We celebrate our diversity and believe through sharing our experiences we can learn from one another, be stronger together, and enable our business to thrive.

Full job record

Job ID5f52b6e441535535e353171d801fb7b51c9768a2
Org IDc63c71b1-a112-41c0-937f-b9166b337f27
Source IDf2a0d97d-af95-4118-91ca-d9dc26e526ca
Board IDf2a0d97d-af95-4118-91ca-d9dc26e526ca
Providerbamboohr
Provider Job Key507
TitleSenior Data Engineer
Normalized Title
Statusactive
Activeyes
Location TextKuala Lumpur, 50470, Malaysia
DepartmentData & Analytics
Team
Employment Typefull_time
Workplace Typehybrid
Remote Policyhybrid
Country
Region
CityKuala Lumpur
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://qs.bamboohr.com/careers/507
Apply URLhttps://qs.bamboohr.com/careers/507
First Seen At2026-05-30 06:10:53Z
Last Seen At2026-06-06 10:32:12Z
Last Checked At2026-06-06 10:32:12Z
Last Changed At2026-05-30 06:10:53Z
Inactive At
Source Posted At2026-03-11 00:00:00Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=qs/date=2026-06-06/2026-06-06T10-32-08-499Z-08acb11044fcd7d4bd396caecb7e636dd4f5e85a9660aa92ba785422e984e7d9.json
Event Fields
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Parsed Structured
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Extensions
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Native Structured
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    "description": "<p><span style=\"font-size: 12pt; font-weight: bold\">R<span style=\"font-weight: bold\">ole: Senior Data Engineer</span></span></p>\n<p><span style=\"font-size: 12pt; font-weight: bold\">Location: Kuala Lumpur, Malaysia</span></p>\n<p><span style=\"font-size: 12pt; font-weight: bold\">Job type: Full time, permanent</span><br><span style=\"font-size: 12pt; font-weight: bold\"><span style=\"font-weight: bold\">Working arrangement: Hybrid</span><br><br></span></p>\n<p><span style=\"font-size: 12pt; font-weight: bold\"><span><span style=\"font-weight: bold\">This position offers a hybrid work model, allowing flexibility between working from home and our office. Typically, employees are expected to work 2 days in the office per week.</span><br><br></span></span></p>\n<p><span style=\"font-size: 12pt\">Why QS?</span></p>\n<p><br></p>\n<p><span style=\"font-size: 12pt\">At QS, we believe that work should empower you. That’s why we foster a flexible working environment that encourages every employee to own their career whilst thriving personally and professionally. Our company values underpin everything we do – we collaborate, respect and support each other.</span></p>\n<p><br></p>\n<p><span style=\"font-size: 12pt\">It’s our mission to empower motivated people around the world to fulfil their potential through higher education, ensuring that everyone has access to opportunities that change lives.</span></p>\n<p><br></p>\n<p><span style=\"font-size: 12pt\">Our diversity makes us stronger. By sharing our experiences, we learn from one another and achieve more together, driving progress across the sector.</span></p>\n<p><br></p>\n<p><span style=\"font-size: 12pt\">At QS, you’ll be responsible for implementing real change in the international higher education landscape. You’ll take on meaningful challenges that see a positive impact across the business and the wider sector.</span></p>\n<p><br></p>\n<p><span style=\"font-size: 12pt\"><span style=\"color: rgba(0, 0, 0, 0.9)\">We’re confident you’ll feel right at home here. QS was named as one of Newsweek’s Top 100 Most Loved Workplaces® in the UK (October 2023), recognising the respect, trust and appreciation that drive our culture every day. And as a gold-accredited Investors in People organisation – putting us among the top 28% of workplaces globally – it’s official: QS is a place where everyone can thrive.<br><br><span style=\"color: rgb(56, 49, 47); font-weight: bold\">As a Senior Data Engineer, this is what you’ll be doing:<br><br></span></span></span></p>\n<p>At QS, we believe that empowering people through data drives meaningful impact in higher education worldwide. As a Senior Data Engineer, you will take a leading role in designing, building, and delivering scalable data pipelines, APIs, and services at the core of QS Cerebrum, and our enterprise analytics and AI platforms. You will establish engineering standards, embed robust governance and data quality measures into all pipelines, and actively mentor fellow engineers to elevate team performance.</p>\n<p> </p>\n<p>In this position, you will work closely with data science and business intelligence teams to develop effective, data-driven solutions that address complex business needs and support our global mission. Your strong leadership and communication skills will be essential in collaborating with stakeholders, guiding team members, and contributing to QS’s long-term strategic objectives.</p>\n<p> </p>\n<p>This is an exciting opportunity to shape the future of education by joining a dynamic Data Engineering team. If you are passionate about growing, innovating, and making a tangible difference in a diverse and supportive environment, we invite you to envision yourself in this impactful role at QS.<br><br><span style=\"font-weight: bold\"><span> </span>         Role responsibilities:</span><br><br></p>\n<ul>\n<li>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.</li>\n<li>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.</li>\n<li>Launch and optimise data delivery solutions, providing secure, scalable access to information for colleagues and partners, and supporting innovation across the organization.</li>\n<li>Improve data quality and transparency by embedding rigorous validation and documentation throughout all workflows, building trust and clarity for every stakeholder.</li>\n<li>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.</li>\n<li>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.</li>\n<li>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.</li>\n<li>Mentor and guide team members, sharing expertise and encouraging skill development to support individual growth and collective achievement.</li>\n<li>Document processes and workflows thoroughly to promote transparency, consistency, and ongoing improvement, empowering others to build on your work.</li>\n<li>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.<br><br><span style=\"font-weight: bold\">Key skills and experience:<br></span><br></li>\n</ul>\n<p>We welcome candidates from all backgrounds, including those with non-traditional career paths and transferable skills. If you are passionate about data engineering and eager to contribute to a collaborative, innovative environment, we encourage you to apply.</p>\n<p> </p>\n<ul>\n<li>Proven ability to lead small teams and deliver results through professional, educational, or volunteer experience in technology or related fields</li>\n<li>Resourceful problem-solver who thrives in dynamic, evolving environments</li>\n<li>Effective communicator with strong interpersonal and leadership skills, fostering collaboration and inclusivity</li>\n<li>Demonstrates sound business judgment, balancing technical solutions with practical business needs</li>\n<li>Proficiency in SQL and Python, with hands-on experience in cloud data platforms (such as Snowflake or equivalent)</li>\n<li>Experience with orchestration tools (e.g., Glue, Airflow, dbt) supporting reliable data workflows</li>\n<li>Knowledge of streaming frameworks (such as Kafka, Snowpipe) and understanding of real-time data delivery</li>\n<li>Awareness of machine learning and artificial intelligence workflows, including feature stores and platforms like Sagemaker</li>\n<li>Understanding of data modeling concepts, including graph-based design Familiarity with REST/GraphQL APIs and approaches to optimize data delivery and performance</li>\n</ul>\n<p> </p>\n<p>Experience in higher education technology is appreciated but not required. We welcome applicants who bring fresh perspectives and transferable skills from other industries or disciplines. Join us in shaping the future of data engineering within an inclusive and supportive team environment.<br><br><span style=\"font-weight: bold\">So, who are we and what do we do?<br><br></span><span>QS is the world leader in higher education services, analytics, insights and intelligence. From consultancy to student mobility, academic partnerships to branding solutions, our services power both institutional and individual success.</span><br><br><span>We’re behind the world’s most widely read university rankings (Meltwater 2023). Our QS World University Rankings® reach hundreds of millions, shaping decisions and guiding futures.</span><br><br><span>Since launching in 1990, our impact and influence have only grown. Today, we work with more than 2,000 of the world’s leading higher education institutions, over 12,000 employers, and governments seeking change and socioeconomic development through higher education.</span><br><br><span>Join QS and you’ll join an 800-strong community of problem-solvers, creators, collaborators and change-makers based in 40+ countries and 11 international offices, including Australia, Malaysia, India, Romania, Singapore, France, Germany, the USA and our headquarters in London.</span><br><br><span>With every talented new hire, business acquisition and bold initiative, we’re strengthening our reach and delivering even greater value to institutions and learners worldwide. Are you ready to shape the future of higher education?</span><br><br></p>\n<p><span style=\"font-size: 12pt; font-weight: bold\">We take investing in our people very seriously.</span></p>\n<p><br></p>\n<p><span style=\"font-size: 12pt\">As standard you will have: </span></p>\n<p><br></p>\n<ul>\n<li><span style=\"font-size: 12pt\">Competitive base salary  </span></li>\n<li><span style=\"font-size: 12pt\">Access to an annual bonus scheme (for qualifying roles only) </span></li>\n<li><span style=\"font-size: 12pt\">20 days annual leave, plus public holidays </span></li>\n<li><span style=\"font-size: 12pt\">Generous maternity and paternity leave  </span></li>\n<li><span style=\"font-size: 12pt\">Access to an Employee Assistance Programme (EAP) and MiCare health </span></li>\n<li><span style=\"font-size: 12pt\">A vibrant social environment and multicultural and multinational culture </span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-size: 12pt\">But that’s not all. Outside of these standard benefits we also offer resources to allow professional growth and wellness initiatives to nurture a healthy mindset: </span></p>\n<p><br></p>\n<ul>\n<li><span style=\"font-size: 12pt\">Free subscription to the Calm App – the #1 app for sleep, meditation, and relaxation  </span></li>\n<li><span style=\"font-size: 12pt\">A focus on welfare which is led by our global wellness team, with mental health first aiders globally </span></li>\n<li><span style=\"font-size: 12pt\">Access to a variety of diversity and inclusion initiatives and groups  </span></li>\n<li><span style=\"font-size: 12pt\">Strong recognition and reward programs – including a peer-to-peer recognition platform, quarterly and annual QS Applaud Awards, Connect with your Career annual PD event </span></li>\n<li><span style=\"font-size: 12pt\">Support for volunteering and study leave</span></li>\n<li><span style=\"font-size: 12pt\">Free subscription to LinkedIn learning – with over 5000 courses and programmes at your fingertips  </span></li>\n<li><span style=\"font-size: 12pt\">Options to join our outstanding global Mentorship programme      </span></li>\n<li><span style=\"font-size: 12pt\">Brand new breakout and relaxing spaces in office  <br><br></span></li>\n</ul>\n<p><span style=\"font-size: 12pt; font-weight: bold\">Like what you’ve heard? Great, apply now! </span></p>\n<p><br></p>\n<p><span style=\"font-size: 12pt\">As a candidate, we know the application and interview process can be daunting and so it’s important that you have a great experience with us. Our dedicated Talent Team will work hard to ensure you are fully informed at all stages and you are really excited by this opportunity to do meaningful work in the education space.  </span></p>\n<p><br></p>\n<p><span style=\"font-size: 12pt; font-weight: bold\">Equal opportunities  </span></p>\n<p><br></p>\n<p><span style=\"font-size: 12pt\"><em>QS Quacquarelli Symonds is proud to be a fair and equal organisation where everyone has the same opportunity to achieve their full potential, irrespective of their background or personal attributes. We celebrate our diversity and believe through sharing our experiences we can learn from one another, be stronger together, and enable our business to thrive.</em></span><br></p>\n<p><span style=\"font-size: 12pt\"><span style=\"color: rgba(0, 0, 0, 0.9)\"><br><br></span></span></p>",
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