Role Overview
Senior Data Engineer – Kuala Lumpur, Malaysia
Full‑time, permanent, hybrid work model (2 days in office per week).
About QS
QS is a global leader in higher education analytics and insights. We empower people through data and provide flexible working environments.
Responsibilities
- Lead the design and creation of robust data models and structures that lay the foundation for reliable analytics and insights.
- 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.
Qualifications
Proven ability to lead 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.Experience with orchestration tools (Glue, Airflow, dbt) supporting reliable data workflows.Knowledge of streaming frameworks such as Kafka and 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 and GraphQL APIs and approaches to optimize data delivery and performance.Benefits
Competitive base salary, annual bonus scheme (for qualifying roles only), 20 days annual leave plus public holidays, generous maternity and paternity leave, Employee Assistance Programme and MiCare health, multicultural and multinational culture, free Calm App subscription, mental health first aiders, diversity and inclusion initiatives, peer‑to‑peer recognition, quarterly and annual QS Applaud Awards, LinkedIn Learning subscription, global mentorship programme, breakout and relaxing spaces in office.
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.
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