Top Data Jobs in Singapore

As a Solutions Architect, you will design complex solutions, evaluate architectures, gather client requirements, and contribute to new services while adapting to technology trends.

The DevSecOps Lead integrates security within the DevOps process, ensuring secure software development. Responsibilities include collaboration, incident response, and promoting security best practices.

The role involves leading SAP ABAP development, delivering solutions using SAP BTP and CPI, mentoring juniors, and troubleshooting technical issues.

The UX Consultant enhances user experience by conducting research, developing wireframes, and collaborating with teams to align designs with user needs and business goals.

The Director of Data Product Management at OKX is responsible for overseeing data foundation management, enabling data-driven growth, and leading a team to enhance data productization and quality management, while promoting a data-driven culture across the organization.

The role involves data analysis to support HR decisions, establishing KPIs, creating reports, and improving HR processes with a focus on data-driven insights.

The Senior Manager, Cloud Solutions oversees platform architecture deployment, manages collaborations, ensures optimal platform functioning, and drives operational excellence.

The Strategic Client Director leads customer success initiatives, managing client relationships, driving solution adoption, and ensuring operational excellence across projects.

Lead initiatives to enhance yield and quality in HBM product engineering through advanced data analysis and machine learning, collaborating across teams and mentoring members.

Lead initiatives to enhance yield and quality through advanced data analysis, machine learning, and AI. Develop algorithms and collaborate across teams to optimize performance metrics.

Lead a high-performing team to enhance yield and quality through advanced data analysis, machine learning, and AI, collaborating with cross-functional teams to achieve strategic objectives.

As a Senior Data ETL Engineer, you'll develop data pipelines, support AI/ML initiatives, ensure data quality, and optimize performance.

The Application Support Engineer will assist clients with resolving issues, managing production environments, and ensuring customer satisfaction with Redline products, including automation and proactive monitoring.

The Data Analyst I will manage reports, develop dashboards in Power BI, ensure data accuracy, and conduct business analytics for informed decision-making.

Assist in data analysis, perform data validation, collaborate with teams, and create visualizations for business insights.

The Data Centre Engineer will manage data and colocation centres, coordinate logistics, and ensure operational standards for security and upkeep.

The Data Engineer will support the Data Movement project by building, integrating, and testing a Data Toolkit, focusing on data ingestion and observability.

The Data Engineer will design, develop, and maintain data ingestion and processing jobs, ensuring smooth operations and addressing production issues.

The SAP Project Manager leads SAP implementation projects, ensuring they meet objectives, timelines, budgets, and quality standards, while coordinating with various stakeholders.

The Senior Cost Manager oversees construction cost control systems, budget management, forecasting, and financial reporting for construction projects, ensuring effective financial decision-making and project delivery.

The Senior DevOps Engineer will build and maintain backend infrastructure for AI data pipelines, support model training and production, and develop monitoring systems.

The Data Scientist will develop machine learning models to detect security threats and collaborate with cybersecurity teams to improve detection accuracy. Responsibilities include monitoring models, leading projects, and communicating insights to stakeholders.

The Senior Data Analyst will analyze trading products to drive business growth, develop data tools, and lead analysis projects independently.

The IT Engineer will manage and support database systems, ensure high availability, troubleshoot issues, and implement database solutions while collaborating with site customers and improving database performance and operations.

The Data Scientist will design smart manufacturing AI solutions, develop data analytics applications, and collaborate across departments to optimize production.