Top Data Engineer Jobs in Singapore

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

As a Data Engineer at Nascent, you will identify novel data sources, develop pipelines, conduct exploratory analyses, and collaborate across teams to enhance trading strategies.

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

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

The Data Engineer Intern will work on enhancing data pipelines, perform data processing and profiling, and document findings while collaborating with cross-functional teams.

The Data Engineer II develops data-driven solutions, builds data pipelines, and analyzes big data to support business insights and decisions.

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.

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.

The Senior Data Platform Engineer will design, build and maintain data pipelines, optimize data processing, and collaborate on data handling solutions within the Growth Team.

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.

As a Senior Data Analytics Engineer, you'll manage data architecture, analyze datasets for compliance, and enhance detection systems.

The intern will manage data pipelines ensuring scalability and efficiency, collaborate with engineering teams, and enhance data processing methods.

The Junior Data Engineer will assist in building data pipelines, ensuring data quality, and collaborating with stakeholders to develop data solutions, while learning from senior engineers.

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

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 Data Engineer will analyze and prototype features for AML data, ensuring data quality and collaborating with teams to enhance compliance efforts.

The Senior Data Engineer builds and maintains data infrastructure, develops data processing pipelines, collaborates on data models, and ensures data quality and governance.

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