Data Engineer

PropertyGuru is Southeast Asia's leading PropTech company, and the preferred destination for over 32 million property seekers monthly to connect with over 50,000 agents monthly to find their dream home. PropertyGuru empowers property seekers with more than 2.1 million real estate listings, in-depth insights, and solutions that enable them to make confident property decisions across Singapore, Malaysia, Thailand and Vietnam.

was launched in Singapore in 2007 and since then, PropertyGuru Group has made the property journey a transparent one for property seekers in Southeast Asia. In the last 18 years, PropertyGuru has grown into a high-growth PropTech company with a robust portfolio including leading property marketplaces and award-winning mobile apps across its markets in Singapore, Malaysia, Vietnam, Thailand as well as the region's biggest and most respected industry recognition platform – PropertyGuru Asia Property Awards , events and publications across Asia.

For more information, please visit : ; PropertyGuru Group on LinkedIn .

Job Title : Data Engineer (Mid-Level)

Department : Technology – Data COE

Locations : Malaysia

Teams : Data Platform & Solution

About the Role

We are looking for a skilled and motivated Data Engineer (Mid-Level) to join our Data COE, contributing to both the Data Platform & Solution teams.

In this role, you'll help build and maintain modern, scalable data infrastructure to meet PropertyGuru evolving needs for data-driven insights and innovation. Our team is advancing toward a Medallion architecture approach and adopting a real-time-first mindset, with batch serving as a secondary option.

You'll also contribute to a "shift-left" data processing philosophy, where cleansing, validation, and transformation are done as early as possible near the source to improve data trust, reduce rework, and simplify downstream logic.

Key Responsibilities

• Design, develop, and maintain real-time (e.g., Kafka, Debezium, Apache Flink, Apache Beam, Kinesis) and batch (e.g., Composer Airflow, Apache Spark, AWS Glue) data pipelines
• Implement and maintain Medallion architecture to support scalable and well-governed data layers.
• Build and optimize data models, datamarts, and schemas for reporting and ML use cases.
• Apply shift-left practices by performing early-stage data cleansing, validation, and transformation close to ingestion
• Ensure data quality, integrity, and availability, with proactive monitoring and alerting (e.g., or similar alternative tooling).
• Handle large structured and semi-structured datasets using GCP (BigQuery) and AWS.
• Optimize storage and queries for performance and cost-efficiency.
• Contribute to data architecture, design discussions, and evolving platform standards.
• Translate business requirements into technical implementation.

Troubleshoot and resolve pipeline and data issues, perform root cause analysis, and continuously improve reliability.

Functional & Team Collaboration

Collaborate with peers to foster technical growth and knowledge sharing.

Required Skills & Qualifications

Self-driven with the ability to work independently and collaboratively

Nice to have Skills

Understanding of how data engineering supports ML and data science workflows

Locations

We are hiring across Malaysia (Kuala Lumpur-Hybrid).

Why Join Us

Our commitment to you :