Top Data Engineer Jobs in Singapore

Responsible for leading the design and maintenance of enterprise data warehouse, collaborating with stakeholders, ensuring data quality, and optimizing data integration processes.

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

As Tempo's first data engineer, you'll design and build data infrastructure, develop ETL pipelines, and optimize data systems for blockchain analytics.

The Data Engineer will design data pipelines, create data models, and harmonize data for business insights while collaborating with teams to ensure solutions fit architectural requirements.

The Principal Cloud Engineer will design and maintain cloud architectures across multiple platforms, focusing on AI and data-intensive workloads, while optimizing resilience and performance through automation and collaboration.

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

Lead the Big Data and Data Analytics team, driving data strategy and overseeing advanced analytics solutions while managing a team of data professionals.

Develop, optimize, and maintain systems for capturing and processing market data. Collaborate with teams to ensure data accuracy for trading performance.

The Senior ETL Engineer will lead data engineering in the APAC region, ensuring standardized, scalable data practices and managing local data systems.

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

The role focuses on software development, especially in Java, and involves working with big data technologies to meet business needs.

Develop and maintain internal Data Platform components, ensuring system scalability, high availability, and integration with data warehouses and orchestration systems. Write maintainable code and support deployment and monitoring processes.

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

As a Senior Data Engineer, you'll lead the migration of data infrastructure to AWS, design ETL pipelines, and modernize dashboards while collaborating with teams and ensuring user training.

The role involves overseeing data center infrastructure, managing teams, optimizing processes, and ensuring operational efficiency in cloud operations.

Lead the migration of data infrastructure to AWS, redesign Python scripts for AWS services, and create documentation and training for users.

Lead the migration of data infrastructure to AWS, re-architect Python scripts and automation workflows, and ensure seamless data operations with zero disruption. Create documentation, conduct training, and validate migrated systems.

The role involves managing large-scale unstructured data for ML systems, contributing to the entire product lifecycle, and building reliable system software.

Seeking a freelance technical writer for data infrastructure and engineering workflows. Responsibilities include translating complex concepts into digestible content and collaborating with SMEs for accurate communication.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

Design and architect data storage solutions, create and manage data pipelines, implement automation, and ensure data quality and compliance using AWS and Databricks while collaborating with cross-functional teams.

Design and build data pipelines, architect data infrastructure on cloud, collaborate with teams to enhance data-driven platforms, ensure data integrity and scalability, and improve products/services.

As a Product Engineer in Advance Data Analytics, you will lead initiatives to enhance yield and quality using data analysis, machine learning, and AI. Responsibilities include algorithm development, data infrastructure enhancement, and collaboration with cross-functional teams.

Manage cloud infrastructure on AWS focusing on reliability and performance, build Data Lake architecture, administer databases, and ensure data quality and compliance.

Design, develop, and maintain data infrastructure microservices using C++, optimize for performance, debug issues, and collaborate with teams.