Top Data Engineer Jobs in Singapore

Collaborate with stakeholders to manage data needs, design infrastructure, create ETL pipelines, and monitor data health.

The Data Engineer will manage patent data operations, design data processing solutions, monitor data quality, and optimize frameworks.

The Junior Data Engineer will write and optimize SQL queries, work with Apache Spark, and develop Hive tables for data pipelines, ensuring data quality and performance.

The Data Production Engineer will automate data tasks, support trading teams, analyze data sets, and ensure data pipeline quality and reliability.

The Associate Data Engineer will assist in developing and maintaining data pipelines, ensuring data integrity, and supporting ETL processes for analytics.

The Data Engineer will handle security-related data statistics, develop content moderation solutions, and analyze user behavior data for decision-making.

The Data Engineer will design, develop, and maintain ETL pipelines, collaborate with stakeholders for data solutions, and ensure compliance with data governance practices.

As a Software/Data Engineer Intern, you'll develop and maintain scalable software, build ETL pipelines, and manage cloud infrastructure while collaborating with teams in an agile environment.

As a Data Engineer Intern, you'll develop data pipelines, storage systems, and backend applications to support Razer's AI gaming products, leveraging cloud technologies and industry best practices.

Manage patent data operations, analyze data requirements, ensure data quality, optimize processing frameworks, and collaborate on architecture upgrades.

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

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

The Data Engineer will build and maintain ETL pipelines, design data transformations, and collaborate on modeling and performance optimization across data platforms.

As a Senior Data ETL Engineer, you'll develop data pipelines, support AI/ML initiatives, ensure data quality, and optimize performance.

Lead the evolution of decentralized data infrastructure, design and maintain ETL/ELT pipelines, and collaborate across teams to derive insights from data.

The role involves designing data architecture, developing ETL pipelines, managing big data tools, and collaborating with product teams to improve workflows. Requires experience in SQL, Python, and related technologies.

Develop and deploy interactive data visualizations, manage projects, perform data analysis, and collaborate with teams to optimize manufacturing processes.

The role involves managing data architecture, optimizing analytics and compliance systems, and collaborating to enhance AML processes within financial operations.

The Senior Data Engineer will analyze datasets, prototype ML features, validate data quality, and collaborate on regulatory compliance insights in a fast-paced environment.

The Senior Data Engineer will lead AI Data Engineering initiatives, architect and manage data infrastructure, and optimize data pipelines for AI and ML applications using various tools and technologies.

Design and maintain scalable data platforms on AWS and Databricks, focusing on efficient data processing, analytics, and orchestration of pipelines.