Top Data Engineer Jobs in Singapore

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 Freelance Data Engineer will analyze data, design databases, manage data operations, and collaborate on data-driven projects to optimize data infrastructure.

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 designs and optimizes ETL pipelines using SQL, Python, Spark, and Hadoop, ensuring data quality and collaboration with teams.

The Data Engineer will design, develop, and maintain scalable data pipelines, optimize data processes, and collaborate with teams to support analytics and reporting solutions.

Responsible for designing and maintaining data pipelines using DBT and Snowflake, optimizing performance, and ensuring data quality.

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.

As a Business Data Analyst, you'll deliver data insights, design ETL processes, ensure data quality, and collaborate with stakeholders on data queries.

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 Data Analytics Engineer develops and maintains analytics models and dashboards, ensuring high data quality and enabling decision-making through actionable insights.

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 large-scale data pipelines and ETL processes, optimize SQL queries, and mentor junior engineers while ensuring data governance.

Architect, design, develop and deploy Salesforce solutions using Data Cloud and Marketing Cloud, ensuring high-quality and secure implementations while collaborating with stakeholders and managing project deliverables.

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.

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