Top Data Engineer Jobs in Singapore

The role involves designing and optimizing a next-generation data platform, developing large-scale data processing systems, and mentoring junior engineers while ensuring high-quality software engineering practices.

The (Senior) Data Platform Engineer will design and build data pipelines, manage data infrastructure, and ensure data quality and consistency across the Growth Data Platform.

As a Senior Data Platform Engineer, you will design and optimize data infrastructure, develop data processing systems, and mentor junior engineers to drive data-driven initiatives.

As a DevOps Engineer, you'll design and maintain cloud infrastructure for data engineering, improve operational capabilities, and build consensus on practices among global teams.

Lead the architecture and development of data and AI platforms for Airwallex, mentoring teams and advocating for best practices. Engage in hands-on problem resolution and drive data-driven decision-making across the company.

As a Data Engineer (Compliance), you will manage SQL scripts for compliance monitoring, handle data governance, and ensure regulatory compliance while collaborating with various stakeholders.

The MSAT Process Data Scientist Intern will assist in setting up bioprocess data frameworks and systems, enabling data analysis and visualization for process engineers, and ensuring compliance with Good Manufacturing Practices in a biopharmaceutical facility.

Seeking a Data Engineer with 4-6 years of experience in big data technologies, data pipelines, and databases, mainly in the financial services sector.

The Data Engineer improves operational visibility by creating analytics and models, maintaining data pipelines, and automating workflows using AI solutions. The role involves cross-functional collaboration to support planning and operational needs.

Collaborate with multiple teams to develop data requirements, manage data governance, and enhance efficiency through data development tools.

The Senior DevOps Engineer will lead DevOps strategy, manage cloud infrastructure, enhance data tools, and ensure operational stability across teams.

Assist in translating business cases into technical solutions utilizing various technologies. Support data warehouse design, address performance issues, and contribute to data management standards.

As a Data Engineer at Xtremax, you'll design, build, and maintain data pipelines, collaborate with various teams, and transform data for analytics.

The Data Engineer will solve complex data challenges, optimize data pipelines, debug failures, and enhance database performance for government agencies.

The Associate Data Engineer will contribute to Machine Learning and NLP projects, collaborate with cross-functional teams, and enhance threat detection through data-driven intel.

The Quantexa Data Engineer will design and optimize big data solutions, build data processing pipelines, and integrate Elasticsearch with Spark, collaborating with teams to ensure data quality and governance.

Design and optimize big data solutions using Spark, Scala, ElasticSearch, and more. Collaborate on data engineering, implement CI/CD, and ensure data quality.

The role requires designing and developing data infrastructure, utilizing Hadoop and Spark in large-scale environments, while also leveraging containerization and automation tools.

The Data Engineer is responsible for designing and maintaining scalable data systems, building data pipelines, and collaborating with teams to support analytics and AI use cases.

Design and develop scalable data pipelines, build ingestion frameworks, create APIs, and operationalize ML models while ensuring security.

The role involves designing data architecture, building ETL/ELT workflows, ensuring data quality, providing technical leadership, and collaborating with cross-functional teams to create scalable data systems for 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 will manage the end-to-end data lifecycle, collaborating with quantitative researchers to support investment strategies and ensure data quality and readiness.

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

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.