Top Data Jobs in Singapore

The Data Engineer will design and build data onboarding pipelines and workflows, collaborating with traders and researchers to improve data accessibility and efficiency in trading processes.

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

The Finance Compensation Data Specialist supports compensation operations, ensures accurate reporting, analyzes business data, and proposes solutions for process improvements.

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.

Lead the Growth and Insights Department, performing advanced data analysis, translating insights into business strategies, and mentoring a high-performing team.

Manage daily data privacy operations, including data subject requests, privacy assessments, incident management, and regulatory compliance.

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.

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.

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.

Develop and improve applications based on client needs; analyze software for optimization; perform testing and documentation; ensure adherence to software processes.

Data Engineers will design, build, and optimize data pipelines and frameworks for Data Warehouse and Data Lakehouse solutions, ensuring quality and efficiency while adhering to compliance standards.

The Data Architect will lead design and implementation of a Data Warehouse, ensuring data governance, security, and analytics capabilities while collaborating in a multinational agile team.

The Global Data & Reporting Analyst will develop and manage automated data pipelines, ensure data quality for sustainability reporting, and optimize data processes for internal and external stakeholders.

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

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

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

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

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

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 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.

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.