Top Data Jobs in Singapore

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

Manage data centre operations overseeing maintenance, engineering teams, contractor performance, compliance, and asset management while ensuring operational excellence.

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 Data Management Specialist will develop data governance tools, collaborate on metadata standards, and implement solutions for data quality and integrity.

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.

Manage all operational and statutory financial accounting activities, overseeing the general ledger, accounts payable, cash management, and compliance while leading a team and ensuring effective reporting and budget management.

The Data Integrity Expert ensures compliance with data integrity regulations, oversees inspections, conducts data quality checks, and leads training programs while implementing risk mitigation strategies.

Intern will optimize data pipelines, automate processes, and contribute to QA framework development while learning from experienced data professionals.

Lead data engineering activities including strategy execution, team management, architecture design, technology selection, performance optimization, and data governance for global wealth data management.

Lead engagement with strategic customers in Asia Pacific, manage account strategy, drive growth initiatives, and oversee sales targets within the Data Center segment.

Lead engagement with strategic customers in Asia Pacific, driving growth strategies, managing accounts, and delivering on sales targets in the Data Center segment.

Lead a unified data and experimentation framework across the company, engaging with core business lines to support data-driven decision-making, while ensuring data quality and governance.

The role involves developing and implementing a data strategy, optimizing data delivery processes, and collaborating with teams to solve business challenges leveraging data.

As part of the Wealth Management Operations team, you'll manage security instruments and counterparty information, ensuring accuracy and adherence to SOPs. You'll provide exceptional client service while executing control and delivery frameworks, report statistics, and support ad hoc tasks or projects as assigned.

The Strategic Enterprise Account Executive will grow strategic accounts, manage customer relationships, drive sales, and expand Databricks usage across organizations.

The Regional Industries Sales Manager SEA supports APAC Vertical Leads to drive sales in the South East Asia Market, focusing on the Data Centre, Education, Retail & Hotels Sectors. The role involves identifying client leads, developing sales strategies, and collaborating with various teams to achieve revenue growth.

Lead the design and development of Data Vault data models while providing architectural guidance and mentoring offshore teams. Ensure data governance and collaborate with stakeholders to improve data quality.

The CX Sales Specialist drives sales by leveraging technology knowledge, engages with clients to understand their needs, develops sales strategies, and maintains strong client relationships to achieve targets.

As a Senior Data Engineer, you'll lead the migration of data infrastructure to AWS, design ETL pipelines, and modernize dashboards while collaborating with teams and ensuring user training.

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 role involves delivering data science and machine learning services, developing data-driven solutions, training customers, and enhancing ML applications using H2O's tools.

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

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

The Senior Data Analyst conducts exploratory data analysis, applies statistical methods, utilizes Python and SQL, and communicates insights to stakeholders.

The Associate Data Analyst will support data analysis, develop forecasting models, automate reporting, and analyze trading performance metrics.