Top Data Engineer Jobs in Singapore

The role involves overseeing the architecture, development, and operations of data and AI platforms, mentoring a team, and resolving complex challenges using innovative solutions.

As a Senior Data Engineer, you will design and implement data models, manage ETL pipelines, enforce data governance, and integrate AI practices.

The role involves managing AI system reviews, conducting risk assessments, ensuring compliance, and collaborating with teams to enhance AI governance and reporting processes.

Drive labor productivity through program management, data analysis, automation, and AI methodologies to enhance operational efficiency and reduce labor hours.

Oversee strategy and architecture of data and AI platforms, resolving challenges, promoting best practices, and mentoring the team.

The Data Engineer will design, develop, and deploy data solutions for government agencies, focusing on geospatial data pipelines and ensuring data quality and compliance.

Design and maintain data pipelines for AI/ML models and analytics in supply chain. Collaborate with scientists, ensure data quality, and optimize ETL processes.

As a Data Engineer at BJAK, you will develop and maintain data infrastructure, ensure data reliability, and support analytics by managing data models and pipelines.

Lead and scale the Data Engineering and DataOps functions. Oversee data ingestion, transformation, and operations to enable self-service analytics. Manage a hybrid team, ensuring end-to-end delivery excellence and data quality.

Lead the design of DevOps strategy and develop cloud infrastructure. Responsible for operational management and building consensus across teams.

The (Senior) Data Platform Engineer will design and build data pipelines, manage data infrastructure, and ensure data quality and consistency across the Growth Data Platform.

As a Senior Data Platform Engineer, you will design and optimize data infrastructure, develop data processing systems, and mentor junior engineers to drive data-driven initiatives.

Lead the Data DevOps team by developing and maintaining data infrastructure, enhancing tooling for self-service capabilities, and ensuring software quality and functionality.

Lead technical decision-making and development for core infrastructure, optimize distributed systems, and mentor engineers while working with AI-driven products.

Join the Sanofi Manufacturing Innovators Program as a Data Engineer Trainee, focusing on data integration, process analysis, and collaboration with cross-functional teams in biopharma manufacturing.

Develop and deploy product disposition solutions, utilize data analysis for yield improvement, create deviation alert systems, and mentor team members while promoting innovation through AI and ML.

As a Data Engineer (Compliance), you will manage SQL scripts for compliance monitoring, handle data governance, and ensure regulatory compliance while collaborating with various stakeholders.

The Data Engineer will design and maintain data pipelines, perform data transformation, integrate data, and collaborate with various stakeholders in an Agile environment.

As a Data Engineer, you'll design and maintain data pipelines, collaborate with teams on data-driven projects, and ensure data quality through transformation and integration of various databases and frameworks.

Collaborate with multiple teams to develop data requirements, manage data governance, and enhance efficiency through data development tools.

As a Data Engineer, you will develop data pipelines, transform analytics for business growth, automate reporting, and collaborate with stakeholders to deliver data-driven insights.

Assist in translating business cases into technical solutions utilizing various technologies. Support data warehouse design, address performance issues, and contribute to data management standards.

The Associate Data Engineer will contribute to Machine Learning and NLP projects, collaborate with cross-functional teams, and enhance threat detection through data-driven intel.

The Data Engineer is responsible for designing and maintaining scalable data systems, building data pipelines, and collaborating with teams to support analytics and AI use cases.

Develop and maintain data pipelines and ETL processes, optimize data structures, and enhance data solutions using AI in a Cloud environment.