Top Data Engineer Jobs in Singapore

The Data Engineer enhances operational visibility through analytics and forecasting. Responsibilities include building data pipelines, automation solutions, and collaborating with various teams to drive performance improvements.

The role involves designing data architecture, building ETL/ELT workflows, ensuring data quality, providing technical leadership, and collaborating with cross-functional teams to create scalable data systems for AI projects.

Design and implement scalable data models, manage ETL pipelines, contribute to data governance, and understand AI integration for data engineering.

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.

Design and develop scalable data pipelines, build ingestion frameworks, create APIs, and operationalize ML models while ensuring security.

The IT Engineer (Data Services) is responsible for database system management, performance tuning, compliance, incident resolution, and automation of database operations.

The role involves leading data analytics initiatives to improve yield and quality, developing algorithms, enhancing data infrastructure, and collaborating with cross-functional teams to drive innovation in HBM product engineering.

The IT Engineer (Data Services) is responsible for managing and optimizing database systems, ensuring data availability, performance, and compliance, while also developing automated solutions and collaborating with site customers.

The Product Engineer will develop algorithms, enhance yield and quality using machine learning and AI, lead cross-functional initiatives, and mentor team members.

The role involves developing advanced data analytics solutions for yield and quality improvement in HBM product engineering, collaborating with cross-functional teams and driving innovation in AI and machine learning.

Develop and validate product disposition solutions using AI/ML for data analysis, enhance yields, create alert systems, and mentor team members in a cross-functional collaborative environment.

As a Product Engineer, you'll lead initiatives for yield enhancement using advanced data analytics, collaborate across teams, and develop AI/ML models to improve quality and efficiency.

The Engineer - Cost Data & Analytics will analyze cost data, develop analytics solutions, and improve data quality to support performance tracking against cost targets.

The MSAT Process Data Scientist Intern will assist in setting up bioprocess data frameworks and systems, enabling data analysis and visualization for process engineers, and ensuring compliance with Good Manufacturing Practices in a biopharmaceutical facility.

Responsible for developing and maintaining data pipelines, employing AWS services, while collaborating with cross-functional teams for data-driven solutions.

The Platforms and Data Engineer will develop and manage high-performance analytics solutions, design data transformation processes, maintain data systems, and support AI projects.

The Data Engineer will manage the end-to-end data lifecycle, collaborating with quantitative researchers to support investment strategies and ensure data quality and readiness.

Join Razer as a Data Engineer to build data infrastructure for AI and machine learning, focusing on optimization, data pipelines, and collaboration with teams for AI-driven initiatives.

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 Cloudera Data Engineer is responsible for building and managing data pipelines and platforms, focusing on the Cloudera Hadoop ecosystem while collaborating with data teams.

The Data Engineer will optimize data infrastructure, develop scalable ETL processes, establish data governance, and collaborate with data teams to ensure data accuracy and performance.

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.

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 architect and deploy scalable data pipelines, operationalize GenAI in Finance, and deliver robust BI solutions, collaborating with analysts and engineers.

As a Data Engineer, you will build data pipelines using AWS, support AI/ML projects, improve existing systems, and ensure security compliance.