Top Data Jobs in Singapore

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.

The role involves developing and optimizing a Data Governance Framework, providing consultation, and implementing governance solutions within the Global Operations team.

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.

The Data Engineering AVP will lead technical delivery for large data projects, focusing on developing cloud solutions and managing multiple vendor teams in a financial transformation context.

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 Energy, Utilities & Operations Counsel will negotiate contracts related to energy and utilities, support compliance with regulations, and manage legal risks for Vantage Data Centers' operations.

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.

The Data Engineer will manage overseas data center operations, including IT maintenance, compliance, partnerships, and project management while building processes.

The Senior Associate Data Centre Operations Analyst designs, analyzes, and maintains critical infrastructure systems, ensuring optimal functionality and compliance with safety standards in data center environments.

The Associate Operation Manager supports daily operational activities, monitors performance and metrics, provides technical support for Cisco environments, and leads front-line staff in a contact center setting.

Collaborate with clients to design and implement data architectures, ensuring data quality and governance while providing technical leadership to data engineering teams.

The Data Analyst supports Compliance Asia by analyzing client activity data to ensure compliance with AML, KYC, and regulatory requirements. Responsibilities include data collection, analysis, report preparation, and collaboration with compliance and IT teams.

As a Senior Data Engineer, you'll design and maintain data pipelines, translating complex requirements into scalable solutions using Python, collaborating with teams to deliver actionable insights in an Agile environment.