Top Data Jobs in Singapore

Software Engineers are matched confidentially with Dragonfly portfolio companies hiring across crypto and blockchain. Roles may span backend, frontend, full-stack, mobile, infrastructure, data, security, machine learning, and DevOps. Candidates should have software engineering experience and an interest in crypto, blockchain, or open-source technologies. Startup or crypto-native project experience is preferred. Opportunities may be remote, hybrid, or in-person worldwide.

Build and maintain real-time data ingestion systems and warehouses for business logs, user behavior, and operational data. Design and optimize Kafka, Spark, and Flink streaming pipelines, ensuring low latency, reliability, data quality, and high availability. Collaborate with business teams, analysts, and data product managers to deliver metrics, dashboards, and data services. Establish ingestion standards, troubleshoot production issues, govern SLAs, and support cloud-based data warehouse modeling and pipeline operations.

The role involves developing AI-driven solutions for semiconductor engineering, focusing on GenAI systems, data pipelines, and machine learning models while collaborating with cross-functional teams.

Develop and deploy AI and machine learning solutions, including generative AI copilots, recommendation systems, RAG, and agentic AI. Build predictive and generative models using structured and unstructured data, create data-driven visualizations, and collaborate with business stakeholders across domains. The role includes applying modern ML, cloud, MLOps, and real-time data technologies, communicating insights, and potentially managing a team.

Analyzes and profiles customer, KYC, onboarding, and reference data for migration initiatives. Develops source-to-target mappings, transformation rules, validation criteria, and technical documentation. Validates ETL pipelines, executes testing and reconciliation, identifies anomalies, and supports data cleansing and issue resolution. Collaborates with business, compliance, governance, operations, and technology stakeholders to deliver data quality and transformation projects.

Develop and implement Xceptor-based data automation and integration solutions for banking and capital markets workflows. Responsibilities include configuring MessageHub channels, Mail and REST/SOAP API integrations, data transformation, reconciliation, validation, exception handling, and workflow optimization. The role integrates financial platforms and supports trade processing, settlements, reporting, and operational efficiency while collaborating with architects, analysts, and market platform specialists.

Own demand forecasting, supply planning, inventory buffers, wafer starts, assembly loads, and customer on-time delivery for semiconductor products. Collaborate with sales, finance, engineering, marketing, business operations, and external suppliers. Analyze demand and supply data, improve forecast accuracy, manage product transitions, coordinate corrective actions, and oversee vendor and internal project activities.

Oversee daily data center facility operations, coordinate maintenance and repairs, manage vendors and contractors, support health and safety compliance, implement environmental initiatives, maintain operational records, prepare reports, and assist with procurement, business continuity, administration, and staff training data.

Manage vulnerability scanning and remediation across on-premises and AWS environments. Maintain the risk register, coordinate risk acceptance and remediation, oversee security signature updates and vendor vulnerability notifications, and perform CVSS-based impact and risk analysis. Prepare leadership dashboards and communicate with technical, business, and customer stakeholders. The role requires managed security services experience, GRC knowledge, ITIL familiarity, and the ability to drive accountability across teams.

Supports an information security program across hybrid on-premises and AWS environments. Manages vulnerability scanning, reporting, remediation tracking, risk registers, risk acceptance documentation, security signature updates, vendor vulnerability notifications, and CVSS-based impact analysis. Prepares leadership dashboards and coordinates with technical and business stakeholders to prioritize remediation and maintain compliance.

Supports the IT PMO by maintaining Power BI dashboards, validating data, analyzing project portfolio trends, and translating findings into management insights. The role improves PMO reporting processes, collaborates on dashboard requirements, and manages the PMO homepage and communications mailbox. It requires strong analytical, communication, organizational, and process-improvement skills, with experience in business intelligence, project reporting, or PMO support.

Lead global analytics and data science teams supporting semiconductor manufacturing. Drive yield and process optimization through SQL, sensor, and fabrication-tool data; apply statistical modeling and machine learning to reduce defects; support DOE experiments; build automated dashboards; and manage cross-functional delivery portfolios. Mentor technical talent, improve data quality and platform performance, standardize modern data stacks, and partner with engineering and business leaders on prioritization, risks, and dependencies.

Supports the delivery of data centre and mission-critical construction projects across planning, design, procurement, construction, commissioning, and handover. Responsibilities include schedule and milestone monitoring, risk and change control, reporting, stakeholder coordination, technical submission reviews, budgeting, documentation management, site inspections, and operational readiness. The role works with clients, consultants, contractors, vendors, and internal teams while promoting health, safety, quality, and project governance.

Build and maintain batch and streaming data pipelines, data models, ingestion workflows, Airflow orchestration, cloud infrastructure, CI/CD, and backend data services. Support CDC, messaging, real-time processing, vector database pipelines, embeddings, semantic search, and RAG knowledge bases. Collaborate with senior engineers, AI teams, and business stakeholders to deliver reliable datasets and services for banking use cases including risk, fraud, customer engagement, and automation.

Lead end-to-end delivery of complex client projects involving data warehouse migration and AI. Responsibilities include project planning, requirements gathering, stakeholder management, Agile or Waterfall delivery, testing, data analysis, governance, risk management, executive reporting, client relationship support, and coaching delivery teams. The role bridges business and technical stakeholders while ensuring projects meet scope, timeline, budget, quality, and business-value objectives.

Leads programme-wide scientific data governance, QA/QC, auditing, documentation, database development, data tracking, and version control. Establishes protocols for research data, models, and assumptions; collaborates with multidisciplinary research teams; conducts internal audits; resolves data discrepancies; and prepares reproducible data subsets for publications, reporting, funding submissions, and regulatory review.

Supports paleoseismology, neotectonics, and geodetic research through geological fieldwork, trench investigations, sample processing, levelling-data digitization, quality control, and analysis. Responsibilities include geological and geodetic data management, integration of levelling, InSAR, and GNSS observations, technical reporting, and collaboration across multidisciplinary research teams. The role may involve demanding fieldwork, regional travel, and mentoring undergraduate interns.

Supports pharmaceutical laboratory quality operations by developing Power BI and digital tools, analyzing equipment and inventory data, managing laboratory supplies and retain samples, coordinating calibration and maintenance, and ensuring cGMP, safety, 5S, and contractor-management compliance. The intern will collaborate with laboratory stakeholders, perform process improvements, and present data-driven recommendations to quality leadership.

Leads technical sales engagements for strategic APAC professional services customers. Designs modern data platforms and AI-ready architectures using Microsoft Fabric, Azure Databricks, Azure databases, Purview, Azure AI, RAG, semantic search, and governed analytics. Influences enterprise architecture decisions, leads proofs of concept and workshops, resolves technical blockers, develops reusable industry solutions, and connects Microsoft Data + AI capabilities to secure production workflows and professional services outcomes.

Build full-stack tools, backend services, APIs, dashboards, and data workflows for assessing and improving AI training data and evaluations. Partner with quality and research teams to inspect agent trajectories, validate graders, measure quality, investigate workflow issues, and turn internal prototypes into reliable production platform capabilities.

Manage the design, creation, validation, maintenance, and lifecycle of master data in SAP S/4HANA for manufacturing plants and distribution centers. Responsibilities include material masters, BOMs, recipes, workflows, data quality scorecards, analytics, reporting, governance standards, business continuity data, audits, and problem-solving workshops. The role partners with global data services and business process teams to support operational excellence and compliance.

Oversee portfolios of Generative AI data operations projects, managing delivery, capacity planning, vendors, budgets, quality, risks, automation, and client reporting. Coach project managers and coordinators, collaborate with recruiting and finance, enforce data security and compliance, and improve processes across distributed teams.

Support fund management and finance teams through financial modeling, investor reporting, valuation and NAV processes, portfolio performance tracking, budgeting, cash-flow management, and ad hoc analysis. Monitor data center asset metrics, maintain dashboards, coordinate with internal stakeholders, and prepare materials for investors, boards, investment committees, and asset reviews.

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 and reconciliation. Coordinates business, technical, QA, and project stakeholders; tracks defects, risks, remediation, and traceability. Supports project planning, client presentations, team leadership, and business development.

Lead technical strategy with channel partners across ASEAN to build repeatable Microsoft Cloud and AI Workforce offerings (Copilot, Power Platform, Agents). Drive architecture design, workshops, POCs, offer development, partner enablement, and co-sell execution to convert technical capability into scalable revenue and customer outcomes.