Top Data Jobs in Singapore

The role focuses on driving revenue growth through AI-driven solutions and technology sales, involving customer engagement and collaboration with the Salesforce team.

Design, implement, and operate patent and related data pipelines: integrate, parse, store, backup, monitor and optimize data quality and processing performance. Collaborate with data architects to improve scalability, stability, and documentation while ensuring data security and regulatory compliance.

The Director of Data will lead a team of data engineers, manage the P&L of the Data practice, and ensure effective collaboration across teams to drive data solutions.

As a Data Engineer, you will develop and manage data pipelines, ensuring reliable data ingestion and delivery while optimizing for simplicity and performance.

The Assistant Data Analyst Manager will lead an analytics team, manage stakeholder relations, oversee Power BI projects, and contribute strategically to data initiatives.

Oversee health, safety and environment (HSE) for data centre construction projects across multiple sites. Conduct daily site visits, audits, safety walks, report incidents and near-misses, manage contractor inductions, ensure corrective actions, prepare monthly safety assessment reports, and support project management to achieve zero incidents and compliance with client protocols.

Lead ETL, data processing, and analysis to generate actionable market intelligence for maritime clients. Build forecasting models, maintain dashboards and reports, support commercial desks with real-time insights, and present findings to stakeholders.

The Data Engineer will optimize data infrastructure, develop scalable ETL processes, establish data governance, and collaborate with data teams to ensure data accuracy and performance.

The Data Analytics Lead will work with senior leadership on strategic projects, focusing on high-impact analytics solutions and driving execution for tangible results.

The role involves managing AI and data science projects, engaging stakeholders, and delivering data-driven solutions while leading a team and guiding junior members.

Lead large-scale analytic projects focusing on driving business impact through strategic analysis and machine learning/NLP models in the financial sector.

Lead regional AFC/AML analytics capability: design, build, validate and deploy AML/fraud detection models; guide country analytics teams; ensure model governance, data suitability, and production readiness across stakeholders and regions.

Seek an Entry-Level Data Scientist to analyze semiconductor data, build predictive models, develop dashboards, and support quality investigations.

The Data Processing Specialist role at Iron Mountain focuses on joining a team committed to providing solutions in records management and transformation services.

As a Data Engineer, you'll design and develop cloud-native data platforms, create scalable data pipelines, and support analytics and reporting across teams.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

Lead a team in developing scalable data solutions, mentor engineers, manage expectations, and contribute to code. Focus on high-quality software practices.

The Networking Technical Services Systems Integration Specialist provides technical support to clients, documents project specifications, mentors junior staff, and assumes ownership of networking technologies and projects.

Lead and deliver concurrent standard or complex client projects from concept to implementation, manage scope, budget, risks, issues, and stakeholder communications, act as single client contact, support pre-sales, and ensure successful handover to operations.

The role involves providing technical support, engaging with clients, writing documentation, and mentoring junior engineers in Networking implementations.

The Senior Associate Networking Technical Services Specialist is responsible for network installations, troubleshooting, problem resolution, and documenting procedures while developing knowledge in networking technologies.

Lead generation and closure of complex, cross-technology solution sales. Build and maintain C-level client relationships, conduct workshops and presentations, collaborate with sales and pre-sales teams, leverage vendor relationships, craft tailored solutions, forecast opportunities, and meet sales targets while contributing best practices to internal knowledge bases.

Lead data-driven strategies for cross-border payments, manage BI and Data Engineering teams, and enhance business efficiency through data insights.

Analyze blockchain data, creating efficient query solutions and fraud detection methodologies while ensuring data integrity and transforming customer data needs into actionable insights.

Own end-to-end ML solutions to improve driver allocation, surge pricing, and incentives. Translate business problems into models, deploy and monitor production systems, design experiments, apply causal inference, optimization and simulation, and communicate results to cross-functional stakeholders.