Top Data Engineer Jobs in Singapore

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.

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

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

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

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

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 Cloud Data Engineer designs and manages data storage solutions, optimizes data pipelines, integrates diverse data sources, and develops ETL processes using AWS and Databricks technologies.

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

Design and implement large scale data processing pipelines, mentor junior engineers, and maintain cloud-based data platform infrastructure.

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 role involves leading data analytics initiatives, managing a team, implementing big data solutions, and collaborating with stakeholders to drive data-driven decision-making.

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.

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

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.

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.

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