Top Data Engineer Jobs in Singapore

The Data Engineer designs and maintains data architectures and pipelines, processes datasets, optimizes ETL processes, and collaborates with teams to support data-driven decisions.

The Data Engineer will design and build modern data platforms, execute technical implementations, and ensure data integrity while collaborating with other teams.

The Data Engineer will lead the migration of data infrastructure to AWS, design ETL processes, and migrate dashboards while ensuring documentation and user training.

The Engineer will develop and manage AI analytics platforms and data processing workflows, focusing on large data sets and maintaining system functionality.

Design and maintain data architectures, process large datasets, optimize ETL processes, collaborate with teams for data-driven decisions, and ensure data security.

The AI Data Engineer Intern will design and build backend data processing systems, focusing on data pipelines, storage, and application software for Razer's AI gaming products.

The role requires ownership of archival projects based on OpenText InfoArchive, data extraction from SAP and Non-SAP systems, reporting, and managing archival execution.

As a Data Engineer at SHOPLINE, you'll be responsible for managing payments data, enhancing data quality, and constructing business evaluation metrics while collaborating across functions.

As a Data Engineer, you'll build data infrastructure, manage ETL pipelines, ensure data quality, and collaborate with teams for analytics and reporting solutions.

Design and build high-volume backend data processing systems, develop data pipelines, manage databases, and collaborate across teams for AI gaming products.

The role involves designing and maintaining data pipelines, optimizing data architecture, collaborating with data scientists, ensuring data quality, and integrating AI/ML models in production workflows.

The Data Engineer will design and build data platforms, manage data pipelines, ensure data quality, and mentor junior engineers.

The Data Engineer will optimize data pipelines, collaborate on cloud infrastructure, and implement solutions for real-time data processing.

As a Staff Data Platform Engineer, you will oversee the architecture and operation of data and AI platforms, influence decision-making, and mentor a high-performing team.

As a Senior Data Platform Engineer, you will design and optimize data architectures, develop large-scale distributed systems, and mentor junior engineers while advocating for high-quality software practices.

The role involves designing and maintaining data pipelines, collaborating on data architecture, and integrating external data sources to optimize data operations.

The Foundational Data Build Engineer will enhance data platforms, develop ETL pipelines, optimize performance, and collaborate with technical teams to solve complex challenges.

Design, develop, and maintain data pipelines, optimize SQL queries, and ensure data quality while collaborating with stakeholders in the banking sector.

The Principal Data Engineer will design and implement data architecture and pipelines, ensure data quality and security, mentor the team, and collaborate with various squads to drive impactful data solutions.

The Data Engineer Analyst will manage and validate large datasets for risk modeling and financial analysis, ensuring data integrity and collaboration with teams.

The Data Engineer will design and build data onboarding pipelines and workflows, collaborating with traders and researchers to improve data accessibility and efficiency in trading processes.

The Data Engineer will build and maintain a low-latency market data platform, ensuring reliability and integration with trading systems. Responsibilities include designing data pipelines, collaborating with stakeholders, and improving data processes.

The Data Engineer will support the Data Movement project by building, integrating, and testing a Data Toolkit, focusing on data ingestion and observability.

The Data Engineer will design, develop, and maintain data ingestion and processing jobs, ensuring smooth operations and addressing production issues.

Design and architect scalable backend services, develop robust governance systems, build SaaS solutions, and mentor junior engineers to enhance IoT platform capabilities.