Top Data Jobs in Singapore

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 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.

The Business Development Executive will build relationships with healthcare stakeholders, identify growth opportunities, support proposals, and engage in market expansion while tracking trends in the Singapore healthcare ecosystem.

The Transaction Director leads a team in managing real estate transactions for data centers across APAC, ensuring successful site acquisitions and collaboration with stakeholders.

The Data Architect will design and maintain data architecture frameworks, create data models, and provide solutions for data architecture. Must drive change management and understand analytics trends.

The role requires managing large Big Data projects, focusing on Hadoop ecosystem architecture and development with specific technologies like Spark, Hive, and Java, among others.

The Data Analytics Developer role requires experience in finance, specifically in banking and financial services, strong data analysis skills, and knowledge of PL/SQL.

The IBM FileNet/Data Cap Administrator is responsible for the installation, configuration, and administration of IBM FileNet and Datacap applications, as well as performing system maintenance and upgrades.

The Data Analyst will work with users and technical teams to implement data warehouse solutions, perform data quality checks, and deliver functional specifications. Banking experience is essential.

The Big Data role requires expertise in Hadoop, Spark, and various development tools, focusing on Big Data analytics and architecture.

The Sr Big Data Engineer will develop data pipelines using big data technologies, manage projects, and implement data modeling for analysis while ensuring efficient querying and performance.

The Data Engineer will optimize data pipelines, diagnose data issues, enhance database performance, and ensure secure data access, collaborating with teams to implement data strategies.

Leverage structured and unstructured data to solve business problems, develop machine learning models, and work on AI applications for financial services.

Leverage structured and unstructured data to solve business problems, developing AI applications, models, and monitoring their performance using MLOps processes.

As a Data Scientist in the AI Lab, you will design AI solutions, build predictive models, explore data insights, and collaborate with teams to innovate banking services.

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

Manage and track real estate transactions and due diligence for data center site acquisitions across APAC. Build systems for reporting and stakeholder alignment.

The Master Data Manager will lead data governance and stewardship in supply chain planning, ensuring data accuracy and quality management. They will collaborate with cross-functional teams to implement data solutions and drive business transformation through effective data management practices.

The Visualization Engineer will develop interactive dashboards and applications, analyze data for insights, manage visualization projects, and collaborate with engineering teams.

As a Data Analyst, you'll analyze patterns, provide insights, track KPIs, and develop dashboards to improve service delivery and customer experience.

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.

As a Data Scientist, you will implement data engineering, develop and test models, automate processes, and interact with clients to deliver AI solutions.

Lead development of enterprise analytic data products, execute data strategies, and communicate technology concepts while guiding and mentoring teams.

Join Iron Mountain as a Data Processing Specialist, contributing to records management and digital transformation for diverse customers. Enhance your skills in a supportive culture.

Responsible for designing and overseeing data architecture, leading data engineers, and implementing enterprise-level data solutions in a cloud environment.