Data Engineer

TL;DR

Data Engineer (Data Science/ML): Designing, building, and maintaining data pipelines, APIs, and services for QS's enterprise analytics and AI platforms with an accent on data transformations, knowledge graph enrichment, and scalable data delivery. Focus on developing robust data models, integrating real-time data, and enabling data-driven decision-making in higher education.

Location: Kuala Lumpur, Malaysia (Hybrid, 2 days in office per week)

Company

hirify.global is a global leader in higher education services, analytics, and intelligence, powering university rankings and supporting institutions and learners worldwide.

What you will do

• Design and maintain data pipelines including real-time and streaming data integration.
• Build and optimize data transformations ensuring data quality and lineage.
• Develop core data models and structures for data lakehouses and marts.
• Maintain APIs and delivery mechanisms for internal and external consumers.
• Support knowledge graph enrichment through entity resolution and vector search integration.
• Implement data quality tests, data contracts, and schema management.

Requirements

• Location: Must be based in or able to work in Kuala Lumpur with hybrid work arrangement (2 days in office per week).
• English: Proficient (B2 level or higher).
• Proven proficiency in SQL and Python.
• Experience with cloud data platforms such as Snowflake or equivalent.
• Hands-on experience with orchestration tools like Glue, Airflow, or dbt.
• Ability to model and manage data lakehouses, marts, and graph-based designs.

Nice to have

• Experience with APIs (REST, GraphQL) and event-driven design patterns.
• Exposure to streaming frameworks and machine learning/artificial intelligence workflows.
• Experience enriching knowledge graphs and advanced data connectivity.

Culture & Benefits

• Competitive base salary with annual bonus scheme.
• 20 days annual leave plus public holidays.
• Generous maternity and paternity leave.
• Employee Assistance Programme and health support.
• Multicultural and multinational work environment.
• Access to wellness initiatives, Calm App subscription, and mental health first aiders.
• Diversity and inclusion initiatives and groups.
• Recognition and reward programs including peer-to-peer recognition and awards.
• Support for volunteering and study leave.
• Free LinkedIn Learning subscription and global mentorship program.
• Modern office spaces with breakout and relaxation areas.

Hiring process

• Application submission and review.
• Interviews and technical assessments.
• Ongoing communication with dedicated Talent Team to ensure candidate experience.