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
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