Top Data Engineer Jobs in Singapore

As a Data Engineer II, you'll design data models, manage ETL pipelines, ensure data governance, and explore integrations with AI to enhance data solutions.

The AI Data Engineer Intern will design and implement backend data processing systems, develop data pipelines, manage data storage, and collaborate with data scientists and engineers to support gaming AI products.

Data Engineers will design, build, and optimize data pipelines and frameworks for Data Warehouse and Data Lakehouse solutions, ensuring quality and efficiency while adhering to compliance standards.

The Data Engineer will manage overseas data center operations, including IT maintenance, compliance, partnerships, and project management while building processes.

The Data Engineer will design and maintain data pipelines, optimize SQL, automate data workflows using Unix/shell scripting, and collaborate with stakeholders on cloud platforms.

The Platforms and Data Engineer will develop and manage high-performance analytics solutions, design data transformation processes, maintain data systems, and support AI projects.

Join Razer as a Data Engineer to build data infrastructure for AI and machine learning, focusing on optimization, data pipelines, and collaboration with teams for AI-driven initiatives.

The Data Engineer is responsible for designing and implementing modern data platforms, developing ETL pipelines, ensuring data quality, and supporting ETL pipeline issue resolution.

Design and implement scalable data infrastructure solutions, manage systems like Kafka and Spark, conduct maintenance and testing, ensure security compliance, and collaborate with cross-functional teams.

The Data Engineer will optimize data infrastructure, develop scalable ETL processes, establish data governance, and collaborate with data teams to ensure data accuracy and performance.

The Cloudera Data Engineer is responsible for building and managing data pipelines and platforms, focusing on the Cloudera Hadoop ecosystem while collaborating with data teams.

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

The Engineer will develop and manage AI analytics platforms and data processing workflows, focusing on large data sets and maintaining system functionality.

The Data Engineer will lead the migration of data infrastructure to AWS, design ETL processes, and migrate dashboards while ensuring documentation and user training.

The Data Engineer will design and build modern data platforms, execute technical implementations, and ensure data integrity while collaborating with other teams.

The role requires ownership of archival projects based on OpenText InfoArchive, data extraction from SAP and Non-SAP systems, reporting, and managing archival execution.

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.

Design and maintain data architectures, process large datasets, optimize ETL processes, collaborate with teams for data-driven decisions, and ensure data security.

As a Data Production Engineer, you will support automated trading systems, manage data processes, and collaborate with teams to prepare data for analysis.

The Senior Data Engineer will design and build large-scale data pipelines, leveraging cloud platforms and technologies like Databricks and AWS, ensuring effective data solutions for clients.

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

The Data Engineer will optimize data pipelines, collaborate on cloud infrastructure, and implement solutions for real-time data processing.

As a Staff Data Platform Engineer, you will oversee the architecture and operation of data and AI platforms, influence decision-making, and mentor a high-performing team.

As a Senior Data Platform Engineer, you will design and optimize data architectures, develop large-scale distributed systems, and mentor junior engineers while advocating for high-quality software practices.

The role involves designing and maintaining data pipelines, collaborating on data architecture, and integrating external data sources to optimize data operations.