Top Data Jobs in Singapore

As a Data Engineer, you will develop and manage data pipelines, ensuring reliable data ingestion and delivery while optimizing for simplicity and performance.

Lead data-driven strategies for cross-border payments, manage BI and Data Engineering teams, and enhance business efficiency through data insights.

Design, build, test, deploy and support Xceptor-based automation solutions. Gather requirements, create documentation/training, integrate with systems, run testing (unit/SIT/UAT), troubleshoot production, and enable consultants through training and case repositories.

The Director of Data will lead a team of data engineers, manage the P&L of the Data practice, and ensure effective collaboration across teams to drive data solutions.

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

Lead a team in developing scalable data solutions, mentor engineers, manage expectations, and contribute to code. Focus on high-quality software practices.

The Staff Data Analyst is responsible for building data products, defining metrics, and collaborating with Sales and Customer Success teams, while leveraging AI for deeper analysis.

The Data Engineer will optimize data architecture, improve data flow for teams, and support analytics initiatives with large data sets.

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

Seek an Entry-Level Data Scientist to analyze semiconductor data, build predictive models, develop dashboards, and support quality investigations.

Analyze blockchain data, creating efficient query solutions and fraud detection methodologies while ensuring data integrity and transforming customer data needs into actionable insights.

The Data Architect leads the design and delivery of data architecture and products, enhances data platforms like Databricks and Snowflake, and mentors teams across various business domains in data modeling and analytics.

Lead the strategy and architecture for enterprise data and AI, focusing on design authority, governance, metrics, and capability building.

The AVP will lead data analysis and implementation execution, coordinating with teams to deliver solutions for client data requirements and ensuring data quality and validation.

The Senior Data Scientist will identify fraud patterns, develop machine learning models, collaborate with technical teams, and provide analytical insights to mitigate risks in crypto transactions.

Lead advanced analytics initiatives in compliance domains, translating regulatory requirements, mentoring staff, and ensuring quality and governance standards.

The Data Processing Specialist role at Iron Mountain focuses on joining a team committed to providing solutions in records management and transformation services.

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 role involves developing AI models, translating business problems into data science solutions, and integrating models into a marketing platform for influencer marketing.

The role involves developing and optimizing AI computing infrastructure, focusing on distributed training, compute scheduling, and end-to-end model engineering for gaming applications.

The Networking Technical Services Systems Integration Specialist provides technical support to clients, documents project specifications, mentors junior staff, and assumes ownership of networking technologies and projects.

Responsible for first-line support of IT infrastructure, resolving technical incidents, and maintaining client systems across multiple technology domains while ensuring a positive client experience.

The role involves providing technical support, engaging with clients, writing documentation, and mentoring junior engineers in Networking implementations.

The Senior Associate Networking Technical Services Specialist is responsible for network installations, troubleshooting, problem resolution, and documenting procedures while developing knowledge in networking technologies.

As a kdb+ Engineer, you will develop and maintain applications, support project delivery, analyze time-series data, and mentor junior developers.