Data Engineer Location: Singapore Function: Data Engineering / Data Platform / Data Warehouse About the Role Our client is a rapidly expanding global consumer internet platform, serving hundreds of millions of users worldwide across content, community, e-commerce, and advertising ecosystems. As the company grows its international presence, data has become a crucial foundation for decision-making, growth, and monetisation. This role is central to building a next-generation global data platform, supporting everything from user growth to commercial optimisation. You will be instrumental in designing and scaling enterprise-grade data warehouse architecture and governance systems, enabling business teams across regions to operate in a truly data-driven manner. Key Responsibilities Foundational Data Platform & Common Data Layer - Design, build, and maintain the company’s foundational data platform and shared data layers. - Deliver general-purpose, stable, and high-performance data capabilities across core business domains, including: - Community/content ecosystem - E-commerce - Advertising - Improve the overall efficiency of data-driven business operations. Domain Data Warehousing & Data Products - Deeply engage with business domains to lead the development of domain-specific data warehouses. - Build data products and analytical models. - Deliver accurate and reliable datasets and user-friendly data services. - Directly support strategic decision-making and daily business operations. Data Governance Framework - Establish and implement a company-wide data governance system. - Integrate business requirements, metadata management, and technical implementation. - Continuously optimise data resource costs, data quality and consistency, data security, and data pipeline stability. Requirements Education & Experience - Bachelor’s degree or above in Computer Science, Information Technology, or related fields. - Minimum 3+ years of relevant experience. Data Warehouse Engineering Expertise - Strong hands-on experience in data warehouse development. - Deep understanding of the full data lifecycle, including data integration, data modeling, and data serving/consumption layers. - Proven ability to continuously optimise data systems and deliver tangible business value. Data Governance & Modeling - Strong understanding of core data management and governance principles, including: - Data governance frameworks - Data standards - Enterprise data modeling - Metadata management - Master data management (MDM) Big Data & Pipeline Engineering - Strong proficiency in big data ecosystem technologies. - Hands-on experience building real-time and batch data pipelines. - Practical experience with multiple technologies such as Hive, Kafka, Spark, Flink, and HBase. Problem Solving & Collaboration - Strong ability to learn quickly and adapt to new technologies. - Excellent cross-team communication and collaboration skills. - Strong logical thinking and ability to solve complex problems. Language & Work Environment - Ability to work effectively in an English-speaking environment (written and spoken). - Comfortable collaborating with global teams. Location Requirement - Singapore Citizens / PRs preferred. Why This Role - Opportunity to build and scale data infrastructure for a global platform with massive user scale. - Work across multiple high-value domains, including content, e-commerce, and advertising. - Exposure to a modern data stack, including real-time and batch processing with Flink/Spark ecosystems. - Direct impact on business strategy, monetisation, and growth decisions. - Opportunity to shape data governance at a company-wide level. *Due to volume of applicants, only shortlisted candidates will be contacted EA Licence No.: 25S3232 EA Personnel Reg. No.: R1874604 EA Personnel Name: Kenneth Ho