Top Data Jobs in Singapore

Lead global data engineering for wealth management: define roadmap, design scalable pipelines, oversee data lakes/warehouses, select technologies, optimize performance, enforce data governance, and manage a distributed engineering team to deliver high-quality financial data solutions.

Implement and configure Collibra data catalog and lineage (technical and business), integrate metadata from ETL, data lake/DWH and core banking systems, map end-to-end lineage, enforce MAS-aligned data governance, validate metadata quality, and manage stakeholder delivery and reporting.

Lead end-to-end cost management for large-scale data centre and mission-critical projects. Define cost strategies, manage cost planning, estimating, forecasting, contract administration and commercial risk. Act as client lead, mentor cost teams, drive value engineering, controls and governance, and support business development in the data centre sector.

Evaluate data centre investment opportunities, build and maintain financial models, prepare investment memos and presentations, perform market research and due diligence, coordinate external advisors, and provide ad-hoc portfolio and performance analysis to support senior management.

Take end-to-end ownership of backend features and SaaS services in a microservices architecture. Design, implement, deploy, and operate scalable, reliable Node.js services. Work with Redis Streams, MongoDB, Kubernetes, and ensure test coverage, performance tuning, and collaboration with cross-functional teams.

Design, build, and operate backend services and data pipelines to ingest, process, enrich, and deliver large scientific, media, and geospatial datasets. Implement REST APIs, event-driven and streaming systems, and Kubernetes-based production infrastructure to support machine learning and agentic AI applications. Collaborate with scientists and ML engineers to translate requirements into scalable, reliable solutions.

Design, prototype, and deploy personalization, recommendation, and search models using large-scale behavioral and transactional data. Build end-to-end ML pipelines, run A/B tests and offline/online evaluations, integrate LLM/LLVM-based models, collaborate with product and engineering teams, and monitor/iterate models to improve discovery and user engagement.

Support and optimize large-scale Spark/YARN jobs and storage (S3/EMR). Build job-profiling, cost-analysis, AI-assisted automation, monitoring/alerting (Prometheus, Flink/Spark), and internal ops tooling to improve stability and reduce costs.

Lead company-wide performance intelligence: build central dashboards and KPI frameworks, produce executive reports, run deep metric analyses (P&L, funnels, retention), create forecasts and ROI models, and design self-serve data infrastructure and automation to guide strategic decisions and resource allocation.

The Senior Specialist will be responsible for data privacy governance, compliance, risk management, and oversight of data processes across multiple jurisdictions in Asia, ensuring adherence to relevant regulations.

Support global sustainability data efforts by collecting, validating, and analysing energy, waste, and carbon data. Onboard properties onto UL 360 and Greenview Portal, maintain dashboards and reports, liaise with property teams and parent company, perform QA checks, and assist with sustainability reporting, research, and ad-hoc projects.

Lead mechanical design and engineering for data centre projects, manage multidisciplinary teams and budgets, engage clients, mentor junior engineers, and integrate innovative, energy-efficient solutions.

Lead electrical design and engineering for data centre projects in Sydney. Oversee project delivery, manage budgets and clients, mentor junior engineers, and integrate industry innovations for energy-efficient, high-performance facilities. Support multidisciplinary teams and foster client relationships.

Design, build, and optimize offline and real-time data pipelines and warehouses for product data. Lead end-to-end R&D for online product data pipelines, ensure timeliness and accuracy, perform Flink-based real-time processing and performance tuning, and enable business growth through data products and services.

Design, build, and maintain analytics-ready data marts using dimensional modeling; partner with analytics and business teams to deliver documented datasets; implement resilient batch and real-time data pipelines; architect cloud data infrastructure; enforce data standards, validation, and monitoring to ensure data integrity and scalability.

Build and maintain the risk-control data warehouse, develop thematic metrics and indicators, design offline and real-time data architectures, optimize data pipelines, and deliver reporting and API interfaces for the data mart to support risk control business lines.

Provide hands-on network implementation, configuration, installation and break/fix troubleshooting. Own portions of installations, escalate complex issues, document SOPs, maintain project administration, present to clients, and work toward professional networking certifications.

Provide advanced technical support and systems integration for networking solutions. Engage with clients onsite and remotely, produce technical specifications, reports and proposals, and assist in complex designs. Mentor junior engineers, coordinate implementation activities, troubleshoot networking issues, and maintain project documentation and SOPs.

Design end-to-end user journeys, information architecture, and interaction patterns for enterprise applications. Evaluate and refine AI-generated prototypes, ensure alignment with design systems and accessibility, facilitate usability assessments and stakeholder reviews, and collaborate with business analysts, product owners, and engineers to deliver consistent, user-centred solutions.

Provide expert-level technical support and systems integration for networking solutions. Engage clients, create technical specifications, assist in complex design, lead installations, troubleshoot networks, write reports and SOPs, and coach junior engineers.

Build and maintain end-to-end web applications: develop responsive React frontends, design backend services and RESTful APIs (Java/Node/Python/AWS Lambda), work with databases, troubleshoot performance issues, write tests, and collaborate with product, design, and engineering teams.

Embed security controls across the SDLC and ensure secure AWS deployments by performing IaC (Terraform) security reviews, CI/CD/GitLab pipeline security, AWS architecture assessments, vulnerability and open-source dependency reviews, compliance and governance assessments, remediation tracking, and advisory support to DevOps and cloud engineering teams.

Design, build, and maintain scalable data pipelines and ETL processes. Ensure data quality, lead data migrations and processing, advise on data architecture, optimize pipelines, shape best practices, collaborate across teams, and lead stakeholder communications to solve complex data challenges.

Design, develop, and maintain scalable data solutions and pipelines. Ensure data quality, lead ETL/migration efforts, provide architecture and optimization guidance, collaborate with cross-functional teams, and influence data strategy and best practices.

Design, build and operate enterprise-scale data and analytics platforms on GCP. Lead architecture, reliability and incident response for BigQuery/Dataproc/Spark workloads, implement IaC and CI/CD, drive SRE/observability, optimize performance and cost, mentor engineers and enforce security and operational best practices.