Top Data Jobs in Singapore

Support the Customer Success Manager by coordinating customer communications, tracking SLA performance, preparing reports, assisting project schedules and documentation, ensuring compliance with ITIL and governance, and liaising across operations, network, IT, and construction teams to resolve issues and improve service delivery.

Lead data acquisition and partnership activities for Transport AI, developing a prioritized multimodal data roadmap, negotiating data access with agencies and industry, enforcing data standards and governance, building secure ingestion platforms, and working with legal, cyber and AI teams to onboard datasets for analytics and AI use cases.

Design, develop, automate, and maintain Power BI supply chain dashboards by extracting and transforming data from MRP/enterprise sources. Perform ETL, data quality checks, reporting, stakeholder engagement, project coordination, and provide insights to improve supply chain visibility and operations.

Manage and maintain document control systems and policies across project lifecycles for data center programs. Implement DMS, ensure compliance and security, train staff, perform audits, and support document retrieval and archiving to enable efficient project coordination.

Provide technical consulting and design end-to-end big data solutions for enterprise customers; lead workshops, demos and PoCs; support cloud migration and platform modernization; differentiate Tencent Cloud versus competitors; coordinate between international sales and Tencent R&D; translate international data compliance, localization, and multi-cloud needs into product roadmap recommendations.

Own commercial analytics and analytics engineering: translate business questions into structured analysis, build trusted dbt datasets and semantic metrics, create decision-ready dashboards, improve data quality, and partner with Commercial, Pay/Risk, Marketing, and Finance to drive business outcomes.

6-month internship to develop and integrate agentic AI systems and RAG pipelines, connect agents to internal data/APIs, build prototypes, and measure agent impact alongside data analysts and engineers.

Build, test, and deploy scalable, data-intensive web search and analytics systems for national-security use. Design architectures, write maintainable code and tests, monitor system health, optimise performance, deliver proofs-of-concept, and support mission-critical deployments.

Ensure reliability, availability, and performance of data centre IT operations. Manage day-to-day monitoring, incident lifecycle, capacity planning, documentation, observability and network monitoring, remote management tools, and define SRE metrics (SLO/SLI/error budgets). Collaborate with facilities on power, cooling, and physical infrastructure.

Manage user acquisition and retention funnels; design, implement, track, and optimize multi-platform acquisition campaigns; own BI and CRM dashboards; measure marketing channel performance; run experiments to improve ROI; work in a small team and take ownership of growth projects.

Design, develop, and deploy large-scale data systems to support cybersecurity products for threat detection, investigation, and analysis. Build scalable, high-availability architectures, microservices, and RESTful APIs with CI/CD. Monitor system health and telemetry, scale systems for growing data volumes, and collaborate with cross-functional teams to meet operational needs.

Design, develop, test, and maintain scalable data processing applications and APIs. Build and operate data pipelines, improve system resiliency, participate in code reviews, document solutions, and prepare production-ready data for AI applications while collaborating within an Agile team.

Lead design, build and maintain scalable, low-latency large-scale data pipelines. Optimize performance, ensure data quality and governance, troubleshoot critical systems, mentor junior engineers, and collaborate with stakeholders to deliver mission-critical data products.

Design, build, and maintain full-stack applications and data pipelines to enable data discovery and sensemaking. Integrate modern technologies, debug and optimize systems, participate in code/design reviews, and communicate solutions to stakeholders.

Lead design, build, test and deploy scalable data-intensive web analytics systems and APIs for national-security use cases. Guide performance, reliability, proofs-of-concept (including agentic AI), mentor juniors, and collaborate with product and stakeholders to deliver impactful solutions.

Manage and optimize a scalable, secure Data Exploration Platform: deploy, patch, tune performance, enforce access controls, support stakeholders with technical guidance, and drive platform improvements and best practices for data analytics and visualizations.

Lead development and maintenance of the banks Data and AI risk management framework, set data risk appetite and controls, translate regulatory expectations, codify standards, and ensure consistent definition and reporting of data risks and control gaps across the Group.

Lead development and refinement of the banks AI risk framework; apply frameworks to use cases; review higher-risk AI applications; liaise with business, technology, and control owners; track remediation and emerging risk themes; prepare governance materials and monitor regulatory developments.

Lead and execute the regional data, analytics, and AI strategy while overseeing implementation, collaboration, team development, and governance compliance.

Assist in data collection and annotation processes to enhance self-driving software development, collaborating with teams for data quality and sensor calibration.

The Senior Data Engineer will design and implement data pipelines, modernize systems, and ensure data governance on cloud platforms. Responsibilities include real-time data processing, ETL workflow creation, and collaboration with teams on data solutions.

Support APAC revenue growth and go-to-market initiatives by analysing merchant transaction data, scheme performance, and payment economics. Build pricing models, recommend routing optimizations, design enterprise pricing, and partner with sales to structure multi-regional commercial deals to protect margins and increase approvals.

The intern will support APAC growth initiatives, analyze data with Python/R and SQL, and design BI dashboards using Power BI, while assisting in program management tasks.

Own the end-to-end analytics lifecycle: define measurement frameworks, build and maintain data pipelines and dashboards, analyze product/behavioural/model data, support experiment/A-B test design, ensure data quality, and communicate insights to influence product and model decisions.

Architect and operate enterprise network security as L3/L4 escalation: design and manage firewalls, IDS/IPS, VPNs, NAC, cloud network security, Zero Trust/SASE, perform incident response and root-cause analysis, mentor junior teams, author HLD/LLD, automate tasks, and support DR and security policy development to meet SLAs.