Top Data Jobs in Singapore

The role involves leading data governance and finance transformation projects, supporting client initiatives, and implementing enterprise data strategies for financial institutions.

Develop and implement Data Warehouse solutions for Risk Control, focusing on architecture, real-time applications, and report data management.

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.

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.

The Data Engineering Intern will work with databases, SQL, and programming languages like Python, focusing on data processing frameworks and tools.

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

The Senior Data Strategist will drive data discovery and utilization strategies, source datasets, manage vendor relationships, and partner with teams to enhance data operations and identify new opportunities for trading signals.

Design and develop full stack web applications for data-driven and AI initiatives, working with data scientists and business stakeholders.

The Forward Deployed Software Engineer will implement and optimize client deployments, troubleshoot issues, and develop integrations, serving as the primary technical contact for customers.

Develop and implement computer vision algorithms, evaluate model performance, and integrate solutions into larger systems, while maintaining documentation and staying updated on technology advances.

The Senior Data Scientist will develop AI solutions for gamers, focusing on Reinforcement Learning and Generative AI, collaborating closely with game developers and engineers.

The Senior Data Engineer will lead AI Data Engineering initiatives, architect and manage data infrastructure, and optimize data pipelines for AI and ML applications using various tools and technologies.

This internship involves analyzing data to provide insights, supporting digital marketing efforts, and presenting findings to internal stakeholders.

Lead the technical strategy for data application product adoption in Asia Pacific, partnering with customers and field engineering teams to drive value and establish best practices.

Intern will design and implement a web-based interface and data infrastructure for managing critical register drift events, integrating alert mechanisms for drift detection.

The role involves developing and optimizing a Data Governance Framework, providing consultation, and implementing governance solutions within the Global Operations team.

This role focuses on processing Policy Services requests, managing customer change requests, and driving process improvements within Policy Services team.

Deliver complete software solutions across all SDLC phases, guide junior engineers, and make technical decisions with minimal supervision.

The Finance Compensation Data Specialist will manage compensation data reports, analyze data for business insights, and ensure compliance in financial operations.

Lead the design and development of Data and Analytics Architecture, enhance data management and governance, and promote data-driven culture within the organization.

The Data Governance Officer develops data standards, manages data quality metrics, maintains documentation, and collaborates with teams to enhance data management and compliance.

As a Data Scientist, AVP, you will leverage data to develop AI solutions, collaborate with stakeholders, and deploy models, improving business outcomes.

The Business & Data Analyst will partner with teams to analyze data, create data processing pipelines, and support analytics consulting projects, focusing on transport-related insights.

The Data Site Reliability Engineer will build and maintain data ingestion pipelines, enhance workflow tools for traders, and ensure data accessibility and lineage while collaborating closely with trading and research teams.

Provide Level 2/3 IT network security support, respond to incidents, manage changes, ensure compliance, and conduct internal training.