Top Data Jobs in Singapore

The Data Compliance Manager designs global product solutions for data compliance, analyzes regulations, manages product lifecycles, and promotes compliance products.

As a Data Scientist at Kyndryl, you will analyze data, develop predictive models, and integrate machine learning features into production systems, focusing on privacy-enhancing technologies.

The Senior Data Analyst will build Power BI dashboards, design data models, perform data analysis, and collaborate with stakeholders to gather insights.

As a Data Specialist, you'll manage data products, ensuring accuracy and generating insights for institutional investors. You'll also enhance your programming skills using Python and SQL.

Manage project lifecycles, develop and execute project plans, collaborate with stakeholders, and ensure timely delivery within budget while mitigating risks.

The Data Engineer will build and maintain a low-latency market data platform, ensuring reliability and integration with trading systems. Responsibilities include designing data pipelines, collaborating with stakeholders, and improving data processes.

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

The Big Data Test Engineer ensures the quality of data platforms through rigorous testing and validation, collaborating closely with data engineers.

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 BTP/CPI Lead oversees SAP cloud-native application design, CPI project management, and integration architecture, ensuring solutions align with business objectives and security standards.

The Software Applications Development Engineer develops and improves applications based on client needs, designs and writes code, tests applications, and communicates with stakeholders. Requires proficiency in multiple programming languages and software development processes.

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 design and implementation of SAP SuccessFactors solutions, engage with clients to customize projects, facilitate training, and mentor junior consultants.

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

As a Client Manager, you will build client relationships, ensure satisfaction, drive sales growth, and develop account strategies using Salesforce.com.

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

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

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.

Responsible for managing the full lifecycle of data centre projects including planning, execution, quality compliance, and stakeholder communication.

The role involves developing analytical models, collaborating with teams on process improvement, maintaining data integrity, and coaching on machine learning techniques.

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

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