Top Data Engineer Jobs in Singapore

As a Data Engineer at OKX, you will design efficient data pipelines, build cloud infrastructure, improve data processes, and collaborate with teams. You will ensure data integrity and drive solutions for improved products and services.

The Data Engineer Intern will design databases, improve data pipelines, and automate data processes for analytics, gaining hands-on experience in data operations.

As a Data Engineer at Paradex, you'll design and build scalable data pipelines and ETL processes, ensuring data quality and accessibility, while collaborating with various teams to drive insights.

Manage patent data operations, analyze data requirements, ensure data quality, optimize processing frameworks, and collaborate with data architects.

Develop and optimize scalable data pipelines using AWS and Python, maintaining data quality and collaborating with analytics teams for business intelligence.

Design, build, and optimize data infrastructure and scalable pipelines. Support analytics and BI tools for actionable insights. Work with diverse datasets.

Responsible for maintaining the raw data pipeline for Tencent's overseas games, optimizing data processes and collaborating with teams for analytics.

As a Data Engineer, you will collect, design, store, and process data while ensuring data integrity and building metrics for eCommerce business.

The Senior Data Engineer will lead AI Data Engineering initiatives, designing scalable data pipelines and architectures to support AI/ML applications, ensuring data quality and compliance while optimizing collaboration with data scientists and AI engineers.

The Lead Data Engineer will manage a team, design and implement data pipelines, optimize workflows, and engage with stakeholders to deliver data solutions using cloud technologies.

The role involves designing data platform architecture, developing pipelines, managing big data components, and improving data workflows for business insights.

As a Sr. Data Analytics Engineer, you will design data architecture, optimize data operations for compliance, analyze datasets for trends, and communicate insights to stakeholders.

As a Senior Data Support Engineer, you'll maintain and optimize data platforms, ensure operational excellence, collaborate with teams, and mentor junior members.

The Lead Data Support Engineer oversees incident management and ensures the reliability of data platforms, optimizing pipelines and mentoring junior staff.

The Senior Data Engineer will develop and maintain scalable data pipelines, enhance data accessibility, collaborate with teams for data modeling, and ensure data quality.

The Senior Developer will develop and enhance applications using Java and Python, focusing on performance and scalability, implement event processing technologies, manage cloud-based solutions on AWS, optimize Kubernetes clusters, and conduct quantitative analysis. Responsibilities also include collaborating with teams to improve trading and analytics workflows, providing technical support for developed systems, and maintaining statistical reporting systems.