Top Data Jobs in Singapore

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.

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.

The Software Engineer for Data Infrastructure & Acquisition at Speechify will enhance data collection, manage infrastructures, and work with AI scientists to develop large-scale datasets.

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.

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.

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 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.

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.

The HSE Manager is responsible for ensuring health and safety compliance in data centre construction and operations, leading safety initiatives, and monitoring performance metrics.

Design and deploy AI solutions (genAI copilots, recommendations, RAG), build predictive and generative models, explore agentic AI, work with large structured and unstructured data, apply deep learning/NLP/RL, partner cross-functionally, and communicate insights.

Build and maintain regional data pipelines and architecture, automate ETL and reporting, transform data for analytics, and collaborate with business stakeholders to identify data gaps and implement solutions. Share best practices and support dashboard/report automation.

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.

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 expert technical support and systems integration across collaboration, networking, security, data center and end-user compute technologies. Design and document solutions, escalate issues, mentor junior engineers, coordinate implementations, and engage directly with clients on complex deployments.

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.

Customize, automate, and administer the Jira environment using ScriptRunner (Groovy). Configure projects, workflows, schemes, fields, permissions, dashboards; build integrations via REST APIs and webhooks; gather requirements, troubleshoot, optimize performance, and support upgrades/migrations.

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.

Lead and direct multiple complex projects or programs from concept through implementation. Manage scope, schedule, budget, risks, issues and change control. Act as primary client contact, ensure satisfaction and handle escalations. Coordinate project teams, support pre-sales scoping and proposals, identify commercial opportunities, and communicate with stakeholders to deliver as-sold solutions while maintaining quality.

Lead L3 managed services for client networks: resolve high-complexity incidents, perform root-cause analysis, create knowledge articles, mentor juniors, coordinate vendors, provide onsite support, and drive automation and operational improvements.

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.

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.

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.

Serve as ASOs single front door for Operations demands across Asia, translating business needs into prioritized initiatives, managing demand pipeline, shaping improvement using AI/data/APIs, and coordinating stakeholders to deliver operational efficiency, compliance, and value realization.

As an Analyst in Data Science, you'll develop AI/ML solutions, collaborate across teams, and enhance customer experience through innovation. Responsibilities include coding, prototyping, and optimizing algorithms for business challenges.