Top Data Jobs in Singapore

Leads the design and delivery of scalable, secure technology solutions across applications, integrations, and data platforms. Translates business requirements into technical designs, provides hands-on engineering guidance, conducts code and design reviews, and applies architectural and development standards. Partners with business, product, architecture, and infrastructure teams throughout Agile delivery. Oversees data modeling, pipelines, APIs, microservices, cloud and hybrid environments, security, performance, reliability, technical risk resolution, and mentoring of software and data engineers.

Develops and executes ASEAN-wide partner marketing, demand generation, content localization, field marketing, and event programs. Owns campaign budgets, partner marketing funds, agency and vendor relationships, Salesforce campaign tracking, performance measurement, pipeline contribution, and lead management. Collaborates with sales, alliances, partners, and internal stakeholders to drive brand awareness, qualified leads, revenue, and marketing-influenced pipeline. Provides coaching and supports a high-performing marketing culture.

Analyze casino operations, product and area performance, manpower efficiency, and dealer performance. Apply advanced analytics, modeling, and machine learning to optimize gaming floors, forecast demand, schedule manpower, and evaluate risk. Build dashboards, reports, analytical tools, and A/B tests; translate insights into business strategies; evaluate revenue impacts; and collaborate with Operations, Marketing, BI, data warehouse, IT, and smart IR teams.

Designs, builds, and supports data pipelines, analytics platforms, and Generative AI solutions. Responsibilities include solution delivery, testing, deployment, production monitoring, troubleshooting, incident resolution, and applying data governance, security, and privacy controls. The role collaborates with analysts, data scientists, engineers, and business users while contributing to enterprise data and AI platform improvements.

Design, build, and operate production AI applications, agentic workflows, RAG systems, evaluation frameworks, and data pipelines. Own systems end to end, including architecture, testing, deployment, observability, reliability, and on-call support. Partner with analytics and business teams to deliver practical solutions, improve AI performance, and maintain robust data and context infrastructure. Mentor engineers and contribute to technical design, code reviews, and engineering standards.

Manage contract administration, commercial claims, procurement, and risk for large data centre and mission-critical construction projects. Administer FIDIC/NEC contracts, assess variations and EOTs, support procurement of MEP and specialist packages, and liaise with project stakeholders to mitigate commercial risk and resolve disputes.

Analyze customer, product, and campaign data to support growth, marketing, and product decisions. Responsibilities include defining metrics, validating data, maintaining analytical datasets, building Power BI dashboards and scorecards, analyzing funnels, cohorts, attribution, lift, and retention, investigating data discrepancies, and translating findings into actionable recommendations. The role also involves collaborating with stakeholders and using AI tools to improve analytical workflows.

Design and maintain scalable financial data models on Databricks using Delta Lake and Lakehouse architecture. Profile and validate index, pricing, reference, ESG, and research datasets; identify data-quality and schema issues; define source-to-target mappings; and collaborate with Data Engineering on ETL/ELT implementation. Use Unity Catalog for governance and lineage, document data structures and rules, test models before production, and update them as provider schemas change.

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.

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 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.

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.