Top Data Jobs in Singapore

Analyzes manufacturing, process, quality, downtime, labor, material-flow, and cost data to identify performance losses and improvement opportunities. Builds dashboards and reports, validates data, performs statistical and root-cause analysis, supports predictive analytics, and communicates findings to operational and technical stakeholders. The role also supports testing, deployment, user adoption, documentation, and continuous improvement of analytics solutions across manufacturing value streams.

Designs and maintains scalable batch and real-time data pipelines, data warehouses, lakes, marts, and APIs. Extracts, cleans, transforms, and integrates data using cloud platforms and big-data frameworks. Develops reliable ETL/ELT solutions, supports backend applications, applies data governance and security practices, and collaborates with architects, analysts, developers, designers, and project managers in an Agile environment.

Develop and deploy predictive models, analyze large datasets, and generate insights for business decisions. Collaborate with stakeholders to create data-driven solutions, design visualizations, and communicate findings. Architect, scale, and maintain reusable AI services and generative AI applications while staying current with data science, machine learning, and generative AI developments.

Implements, configures, integrates, upgrades, and supports cybersecurity platforms in customer environments. Troubleshoots security incidents and technical issues, supports monitoring, vulnerability management, access controls, and compliance initiatives, and escalates complex problems. The role also requires documentation, knowledge transfer, customer collaboration, project administration, status reporting, and stakeholder communication. Candidates should have approximately three to six years of relevant cybersecurity experience and be able to independently manage routine implementations while mentoring junior engineers.

Lead the development and deployment of AI and generative AI solutions for banking use cases. Responsibilities include researching advanced techniques, building LLM applications, integrating AI capabilities into enterprise systems, conducting validation and benchmarking, establishing guardrails, and advising stakeholders. The role collaborates with data, engineering, technology, and business teams while managing strategic project objectives and communicating analytical findings.

Designs and maintains scalable Microsoft Fabric and OneLake data lakehouse solutions. Builds ingestion and transformation pipelines, integrates structured and semi-structured data, implements medallion architecture, and develops SQL, Python, PySpark, and Spark SQL transformations. Responsibilities include data quality, security, monitoring, performance optimization, documentation, testing, CI/CD deployment, and preparing curated datasets for Power BI and analytics. Collaborates with architects, analysts, and reporting teams to deliver technical data solutions.

Design, deploy, configure, scale, and maintain regional data and colocation centres across Asia. Responsibilities include equipment deployment planning, procurement and inventory coordination, Linux server installation in PXE environments, network and server hardware installation, cabling, troubleshooting, vendor coordination, documentation, safety, security, and operational standards. The role is based in Singapore and supports remote locations, with occasional travel and some evening or weekend work.

Leads mechanical engineering design and delivery for hyperscale and colocation data center projects. Provides technical leadership, manages project objectives, schedules, resources, budgets, quality, and client relationships. Supports business growth through bids, proposals, thought leadership, and sector strategy while coordinating multidisciplinary teams and ensuring resilient, high-quality mechanical services. Requires extensive mission-critical experience, strong commercial capability, professional engineering credentials, and eligibility for AGSVA clearance.

Supports electrical engineering design and delivery for data center and mission-critical projects. Responsibilities include defining technical objectives, coordinating schedules and resources, applying engineering judgment, managing risk, maintaining quality standards, supporting APAC technical delivery, mentoring teams, developing client relationships, and contributing to bids and thought leadership. Requires extensive data center electrical design experience and knowledge of power distribution, resilience, redundancy, and client technical requirements.

Leads client-facing data transformation initiatives for high-profile financial services clients. Responsibilities include gathering business requirements, translating needs for technical teams, managing data projects, developing client solutions, building teams, supporting RFPs, and applying expertise in finance, data integration, ETL, and data modeling. The role also drives strategic improvements, maintains executive client relationships, and advises stakeholders on emerging technologies and industry trends.

Leads strategic data transformation initiatives for high-profile financial services clients. Responsibilities include managing client relationships, gathering business requirements, guiding data integration and modeling solutions, overseeing delivery, building teams, supporting RFPs, and advising on finance and fund administration data solutions. The role requires strong leadership, client-facing communication, financial services expertise, and knowledge of data technologies.

Implements, configures, upgrades, and supports cybersecurity platforms in customer environments. Troubleshoots technical issues, supports monitoring, vulnerability management, access controls, and compliance activities, and escalates complex problems. Maintains documentation, SOPs, project administration, status reporting, and knowledge transfer. Collaborates with customers, project managers, vendors, and technical teams during deployments and operational support. May mentor junior engineers while handling routine implementations independently.

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.