Top Data Jobs in Singapore

Support cost management for Civil, Structural & Architectural works on a large data centre. Assist with cost estimating, tendering, procurement, change management, cost reporting, contractor claims review, stakeholder coordination, and governance to ensure cost control and accurate financial reporting throughout the project lifecycle.

Manage and maintain all project documentation for large-scale data centre construction: control drawings, RFIs, submittals, approvals, QA/QC, commissioning and handover records. Administer document management systems (ACC), track workflows, coordinate stakeholders, compile O&M manuals and support audits to ensure compliance with project and client procedures.

Lead planning and delivery of commercial fit-out and data centre projects, managing schedules, budgets, change control, governance, safety compliance, stakeholder engagement, and cross-functional teams. Prepare progress reports, capture lessons learned, and identify business development opportunities.

Design and build scalable, metadata-driven data pipelines, frameworks and services for AI/ML use cases. Lead end-to-end SDLC, deliver high-quality backend solutions, manage production support and CI/CD, collaborate with stakeholders, perform POCs, and drive process improvements and automation.

Develop and maintain Python libraries, services, and frameworks for data pipelines used in trading and research. Collaborate with quantitative and tech teams to design data models, deploy resilient data platform tooling, improve development velocity, write design/requirements docs and runbooks, and provide higher-order production support during business hours.

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.

The Staff Engineer will define architecture, lead data pipeline design, ensure platform reliability, and mentor engineers, driving data initiatives and technical standards.

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.

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 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.

The Senior Data Scientist will identify fraud patterns, develop machine learning models, collaborate with technical teams, and provide analytical insights to mitigate risks in crypto transactions.

Design, build, and deploy production-grade ML models (cross-sell, upsell, recommendation, LTV), automate model lifecycles with SageMaker, leverage LLMs for personalization and insight generation, run A/B tests, collaborate with product and engineering, and mentor junior data scientists to drive measurable revenue outcomes.

Responsible for sales results in mid-size and large accounts, developing customer relations, analyzing sales data, and driving innovative products.

As a kdb+ Engineer, you will develop and maintain applications, support project delivery, analyze time-series data, and mentor junior developers.