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.

Develop next-gen data infrastructure solutions for AI initiatives, collaborating with data teams and ensuring system reliability and compliance.

The Senior Data Engineer will design and implement ETL processes, manage data pipelines, ensure data governance, and leverage AI in data systems while collaborating cross-functionally.

The Director of Developer Experience specializes in improving internal team interactions with platform tools, advocating for developer needs, and enhancing onboarding processes.

The role involves leading the design and development of scalable and secure data engineering solutions, fostering collaboration among teams, driving DevSecOps adoption, and mentoring engineers while ensuring compliance and innovation in biological data analysis.

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.

As a Data Engineer, you will design and develop data pipelines, collaborate with teams to deliver data-driven insights, and ensure code quality through practices like pair programming. Strong SQL and ETL experience are essential.

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

The role involves acquiring and analyzing new data sources, building pipelines, and collaborating to support quantitative research and trading strategies.

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.

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.

Design and develop data warehouse systems, optimize data processing, and collaborate with teams to deliver efficient data solutions.

Develop and maintain data pipelines, support data collection, build datasets for AI evaluation, and create dashboards for monitoring product metrics.

The Data Engineer will design, build, and maintain data pipelines and systems for analytics and work collaboratively on IT projects for government agencies.

Manage patent data operations, analyze data requirements, ensure data quality, optimize processing frameworks, and collaborate on architecture upgrades.

Seeking a Data Engineer to develop data pipelines, ETL processes, and data architecture using AWS services, Python, and SQL. Collaborate with teams on data initiatives and ensure compliance with data security.

The Data Engineer will lead the migration to AWS, develop data pipelines, automate workflows, manage documentation, and support end users in using the new data systems.

Data Engineers at Razer will build and manage scalable data pipelines for AI/ML applications, ensuring efficiency and reliability while collaborating with cross-functional teams.

As a Data Engineer, you'll develop data platforms and pipelines, transform raw data into insights, and ensure data quality for strategic decision-making. You will manage multiple projects, requiring superior problem-solving and communication skills.

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

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

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