Top Data Jobs in Singapore

Leads the PMC team delivering a data centre new build, overseeing project administration, construction milestones, commercial and contract management, procurement, critical equipment schedules, authority approvals, design coordination, quality, safety, and sustainability certification. The role coordinates clients, consultants, contractors, and local authorities while managing scope, budget, schedule, claims, variations, and technical delivery.

Build and maintain full-stack web applications, developing React interfaces and scalable backend services and RESTful APIs. Translate business requirements into tested solutions, collaborate with product managers, designers, and engineers, participate in code reviews, and troubleshoot defects and performance issues. The role may use Java, Node.js, Python, AWS Lambda, and related cloud, serverless, database, testing, and deployment technologies.

Own EULER’s data lifecycle, including instrumentation, validation, reconciliation, privacy, anonymization, canonical data modeling, analytics datasets, documentation, and production pipelines. The role requires strong SQL, software engineering practices, independent ownership, skepticism toward data quality, and clear communication. Preferred experience includes GDPR/LGPD, multi-tenant B2B SaaS, dbt, statistics, Cloudflare Workers, Postgres, Parquet, DuckDB, and Bubble.

Processes and maintains investment market, master, and corporate-action data in SAP FAM to support accurate investment accounting. The role documents procedures, responds to finance and investment operations inquiries, supports projects, and improves data-control processes and systems. Candidates should understand investment products, accounting treatments, control environments, investment operations systems, and market-data platforms.

Guides software development teams in Scrum and Agile practices, facilitates ceremonies, removes impediments, manages dependencies, and drives continuous improvement. The role coordinates cross-functional teams, aligns stakeholders and product owners, monitors project progress, manages risks, and supports backlog prioritization. It also coaches teams in Agile methodologies and promotes effective collaboration, quality delivery, and organizational process improvements.

Support cost management for data centre projects including cost estimates, quantity take‑offs, tender support, contract administration, cost tracking, reporting, and stakeholder coordination under senior guidance.

Support cost management for data centre projects including cost estimates, quantity take‑offs, tender support, contract administration, cost tracking, monthly reporting, progress valuations, and coordination with contractors and consultants under senior oversight.

Analyze large-scale consumer and marketing data using SQL and Python to generate audience segments, attribution insights, and purchase-driver analysis. Build AI and ML solutions, automate analytics pipelines with agents and workflows, create classification models and AI-generated dashboards, and maintain deployments on Google Cloud. Collaborate with strategy, marketing, product, technology, and external agency stakeholders across Southeast Asian and Oceania markets.

Supports Group Internal Audit’s digital transformation through process improvement, data cleansing and modeling, analytics use cases, coding, scripting, documentation, and data ingestion pipeline development. The intern will help detect anomalies, perform audit checks, measure or predict risks, and complete ad hoc assignments while working independently in a fast-paced environment.

Leads global footwear materials costing operations, establishing operating models, data pipelines, analytics, supplier costing frameworks, and leadership reporting. Partners with sourcing, supplier management, manufacturing, finance, and product teams to monitor commodity markets, analyze supplier quotations, improve cost visibility, support negotiations, strengthen margins, and drive operational excellence. The role also leads cross-functional initiatives, resolves supplier-related issues, and supports sustainability projects.

Lead cost management for complex construction projects from initiation through completion. Responsibilities include cost planning, estimating, reporting, forecasting, value engineering, lifecycle costing, budget and risk management, contract administration, invoice coordination, stakeholder engagement, team leadership, client management, and business development. The role oversees multidisciplinary teams, ensures financial and delivery controls, presents cost plans and reports, and develops cost managers while supporting client objectives and business growth.

Designs and deploys AI solutions including generative AI copilots, recommendation systems, RAG, and agentic AI. Builds predictive and generative models using structured and unstructured data, applies advanced machine learning techniques, develops data visualizations and stories, and partners with cross-functional teams on cloud, MLOps, and real-time data platforms. May manage a team depending on seniority.

Lead delivery of data and digital consulting services: define deliverables, engage senior stakeholders, manage small teams, design scalable data pipelines, implement dashboards and analytics, ensure data quality and governance, and drive digital transformation using cloud, BI, and automation tools.

Owns solution architecture and technical design for client AI systems, including agentic and generative AI architectures, model and vendor strategy, enterprise integration, security, governance, and audit controls. Leads architecture reviews, guides engineers and data professionals, advises executive stakeholders, contributes to proposals, and establishes reusable standards and reference architectures for a growing APAC Data & AI consulting practice.

Build and operate production-grade agentic and generative AI solutions for clients. Responsibilities span solution design, model selection, RAG, deployment, MLOps, monitoring, evaluation, observability, security, governance, incident response, resilience, cost optimization, and auditability. The role partners with data, engineering, security, and client stakeholders, establishes reusable production standards, supports regulated environments, mentors junior engineers, and contributes to the growth of CFGI’s Asia-Pacific Data & AI practice.

Owns regional IT governance, data security, AI tool compliance, privacy policies, access controls, incident management, and client security audits across APAC markets. Establishes group-wide data governance standards, manages enterprise tool licensing and usage monitoring, evaluates AI tool risks, and ensures compliance with data residency, cross-border transfer, and client-specific security requirements.

Leads end-to-end delivery of large, complex M&E data center projects, overseeing execution, budgets, schedules, quality, safety, risk, contracts, claims, disputes, and stakeholder relationships. Provides technical leadership across electrical, ACMV, or fire protection systems; manages client and executive engagement; ensures governance and compliance; and leads multidisciplinary project teams through commissioning and handover.

Develop and implement AI/ML and Generative AI proof-of-concept solutions, including data processing, model training, deployment, experimentation, and algorithm optimization. Collaborate with business, technology, and engineering teams to integrate scalable solutions into existing platforms. Apply deep learning, NLP, and large language model techniques to address business challenges, translate real-world problems into data science solutions, and contribute to technical knowledge sharing.

Manage day-to-day contract administration for data centre projects, oversee claims and dispute resolution, maintain documentation and correspondence, advise project teams on contractual risks/opportunities, support reporting, meetings, project closeout, and liaise with legal and stakeholders to ensure contractual compliance.

Design, build, and operate production-grade batch and streaming data pipelines across AWS and Databricks. Develop lakehouse architectures, data models, quality controls, orchestration, lineage, monitoring, and security practices. Optimize Spark and SQL workloads, establish engineering standards, review designs and code, mentor engineers, and collaborate with data owners, analysts, data scientists, architects, and governance stakeholders. Support reliable, well-governed data products for analytics, reporting, and machine learning.

Develop and validate fraud-risk models for public training subsidies. Responsibilities include recalibrating thresholds, engineering features, evaluating model performance, monitoring data and concept drift, investigating anomalies, assessing emerging fraud schemes, and documenting analytical methods. The role requires collaboration with technical and policy stakeholders, clear communication of trade-offs, and reproducible Python and SQL workflows. Preferred experience includes imbalanced data, delayed labels, dashboards, MLOps, cloud data platforms, graph analytics, and public-sector datasets.

The Data Analyst develops and maintains Power BI dashboards, datasets, data models, SQL and DAX solutions, and data pipelines. The role supports AWS cloud analytics integration, data quality, troubleshooting, governance, documentation, and workspace administration. It coordinates data engineers, translates business requirements into technical deliverables, collaborates with stakeholders, and communicates findings to nontechnical audiences while supporting agile delivery and data privacy compliance.

Leads data migration and analysis projects for KYC and CLM platforms. Gathers requirements, documents business rules and data mappings, analyzes data quality and lineage, defines cleansing and transformation rules, and validates migration results through SIT. Coordinates business, technical, QA, and architecture stakeholders; tracks defects, remediation, risks, and project progress. Supports project planning, client presentations, stakeholder management, and business development.

Lead data migration analysis projects involving source and target data profiling, remediation, quality checks, SQL validation, test case design, SIT and UAT validation, and Power BI dashboard development. Collaborate with business analysts, architects, developers, and QA teams to validate mappings, transformations, defects, and regulatory compliance for KYC and CLM initiatives. Coordinate project teams, maintain documentation, provide recommendations, and support client proposals and business development.

Provides advanced managed services support across cloud, security, networking, and application infrastructure. Resolves complex incidents, monitors systems, meets SLAs, performs proactive optimization, creates knowledge articles, and supports automation. Engages vendors, contributes to projects and disaster recovery, maintains operational systems, and mentors L2 and junior engineers while ensuring client requirements are met.