Role : Senior Data Engineer
Location : Kuala Lumpur, Malaysia
Job type : Full time, permanent
Working arrangement : Hybrid – 2 days in office per week.
About QS
At QS we empower motivated people around the world to fulfil their potential through higher education. We believe in flexible working, collaboration, respect, and support. Our mission is to empower people worldwide and make a positive impact in the higher education sector.
Role Overview
As a Senior Data Engineer you will design, build, and deliver scalable data pipelines, APIs, and services at the core of QS Cerebrum, enterprise analytics and AI platforms. You will lead engineering standards, embed governance and data quality, and mentor fellow engineers.
Responsibilities
- Lead the design and creation of robust data models and structures that lay the foundation for reliable analytics.
- Develop and maintain efficient data pipelines that integrate real‑time and streaming data.
- Launch and optimise data delivery solutions, providing secure, scalable access to information.
- Improve data quality and transparency by embedding rigorous validation and documentation.
- Support the enrichment of knowledge graphs by modelling relationships and resolving entities.
- Apply business acumen to interpret complex data needs, ensuring every technical solution adds measurable value.
- Partner with cross‑functional teams to uphold data integrity, manage schemas, and ensure compliance.
- Mentor and guide team members, sharing expertise and encouraging skill development.
- Document processes and workflows thoroughly, promoting consistency and ongoing improvement.
- Take ownership of any additional responsibilities within the role’s scope, including tasks that may arise outside standard business hours.
Key Skills & Experience
Proven ability to lead teams and deliver results in technology or related fields.Resourceful problem‑solver who thrives in dynamic environments.Strong communication and leadership skills, fostering collaboration and inclusivity.Sound business judgment, balancing technical solutions with practical needs.Proficiency in SQL and Python; hands‑on experience with cloud data platforms such as Snowflake.Experience with orchestration tools – Glue, Airflow, dbt – for reliable data workflows.Knowledge of streaming frameworks (Kafka, Snowpipe) and real‑time data delivery.Awareness of ML and AI workflows, feature stores, and platforms like SageMaker.Understanding of data modelling concepts, including graph‑based design.Familiarity with REST / GraphQL APIs and optimisation of data delivery.Experience in higher education technology is appreciated but not required.Benefits
Competitive base salary.Annual bonus scheme (qualifying roles).20 days annual leave plus public holidays.Generous maternity and paternity leave.Employee Assistance Programme (EAP) and MiCare health.Vibrant social environment and multicultural culture.Free subscription to Calm App.Global wellness team support and mental health first aiders.Access to diversity and inclusion initiatives and groups.Peer‑to‑peer recognition, quarterly QS Applaud Awards, and annual career events.Support for volunteering and study leave.Free subscription to LinkedIn Learning.Global mentorship programme.New breakout and relaxing spaces in the office.Application
Great, apply now! We’ll keep you informed at each stage and ensure you have a great experience.
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 background or personal attributes. We celebrate diversity and believe in continuous learning and mutual support.
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