Top Data Jobs in Singapore

Leads mechanical engineering for critical infrastructure and data center projects across APAC. Reviews and optimizes mechanical, plumbing, and fire protection designs; coordinates consultants, contractors, vendors, and cross-functional teams; supports thermal, hydraulic, CFD, and acoustic studies; manages technical documentation, quality reviews, scope changes, schedules, costs, and compliance with applicable standards.

Build and operate scalable scientific data pipelines and services integrating laboratory, OMICS, imaging, assay, formulation, consumer, and performance data. Implement metadata, provenance, versioning, identity resolution, access, semantic, and data-quality controls. Develop interfaces connecting repositories, knowledge graphs, analytical tools, computational models, and AI workflows. Monitor reliability, availability, dependencies, and performance while resolving bottlenecks and providing operational support for trusted analytical data foundations.

Build and operate scalable financial market data pipelines for Binance stock products and AI applications. Responsibilities include sourcing, ingesting, modeling, processing, storing, and serving real-time and historical data; designing multi-market data frameworks; optimizing Flink pipelines; and establishing quality, reconciliation, monitoring, lineage, and recovery systems. The role also evaluates vendors and data sources, defines data contracts, and collaborates with trading, product, AI, legal, and compliance teams.

Conduct technical research at the intersection of AI and blockchain, exploring LLMs, agents, on-chain data, trading, and intelligent applications. Build reproducible prototypes and validate innovative ideas through proof-of-concepts and product demonstrations. Track industry developments, analyze research findings, document conclusions, and collaborate with algorithm and engineering teams to advance concepts toward implementation.

Leads architecture, security, operations, cost management, and governance for an enterprise GenAI and data platform on Google Cloud. Designs LLM agents, RAG solutions, secure tool-enabled workflows, private networking, IAM, observability, and capacity models. Oversees distributed data pipelines, cloud migration, performance optimization, risk approvals, and engineering standards while mentoring teams and engaging security, vendors, and business stakeholders.

Own the data platform product roadmap, including multi-chain ingestion, on-chain parsing, token and market data, APIs, datasets, analytics tools, governance, quality monitoring, and metric frameworks. Partner with engineering, backend, algorithm, BI, risk, growth, and business teams to deliver reusable data products. The role requires substantial product management experience, hands-on Web3 knowledge, understanding of blockchain data models, SQL proficiency, and familiarity with data infrastructure and analytics tooling.

Leads mechanical engineering design delivery for hyperscale and co-location data center projects. Oversees technical quality, project objectives, schedules, resources, budgets, and multidisciplinary coordination. Builds client partnerships, supports bids and proposals, contributes to thought leadership, and drives sector growth. Requires extensive data center or mission-critical engineering experience, commercial acumen, professional engineering qualifications, Uptime Institute ATD certification, and eligibility for Baseline or higher AGSVA clearance.

The role involves developing advanced data analytics solutions for yield and quality improvement in HBM product engineering, collaborating with cross-functional teams and driving innovation in AI and machine learning.

The Data Scientist will analyze big data to develop predictive models and actionable insights, collaborating with various teams to enhance products and services.

Leads the Markets Operations control, country oversight, data governance, regulatory assurance, performance reporting, and strategic control transformation agenda. Establishes control frameworks, manages operational risks and remediation, oversees data quality and analytics, ensures regulatory and service-level compliance, and partners with Risk, Compliance, Audit, Technology, and Change teams. Builds and leads specialist teams while promoting operational resilience, transparency, automation, and continuous improvement across multiple jurisdictions.

Develops and owns end-to-end machine learning models, from ideation and prototyping through implementation. Responsibilities include building predictive models for credit scoring and recommendation engines, researching model improvements using large datasets, and advancing data science capabilities. Collaborates with analysts and machine learning engineers. Optional experience includes alternate data for credit risk and deep learning or NLP model development.

Develops and owns end-to-end machine learning models, from ideation through implementation. Responsibilities include prototyping credit-scoring and recommendation models, researching improvements using large datasets, and advancing the organization’s data science capabilities. Collaborates closely with analysts and machine learning engineers while applying quantitative, statistical, and business expertise.

Partner with APAC Compliance teams to deliver regulatory reporting, compliance monitoring, risk analytics, and assurance reporting. Build scalable data models, dashboards, and self-service analytics tools while validating regulatory submissions and supporting automated monitoring. Maintain data quality, governance, and documentation, and collaborate with Risk, Compliance, Product, and Engineering stakeholders. The role requires strong SQL and data modeling skills, with opportunities to use dbt, modern data warehouses, data engineering tools, and Python.

Lead Databricks’ enterprise sales organization across Malaysia and Indonesia, managing Enterprise Account Executives and owning team quota attainment. Develop strategic revenue plans, grow consumption among strategic financial services accounts, build executive customer and partner relationships, and translate technical data and AI capabilities into business value. The role requires Bahasa fluency, extensive enterprise software sales leadership, strong Data and AI expertise, hyperscaler relationships, and a proven record of developing high-performing teams.

Develop and deploy AI, machine learning, GenAI, automation, and analytics solutions for Group Risk Management. Partner with business, technology, data engineering, and data science stakeholders to define requirements, deliver use cases, and influence decisions. Guide teams on model selection, GenAI cost estimation, benefit realization, governance, privacy, and responsible AI. Maintain existing solutions, promote AI adoption, and oversee analytics work across risk departments.

Design and deploy AI, automation, data integration, and web application solutions across APAC. Responsibilities include building ETL pipelines, developing AI and machine learning models, creating Power Platform solutions, maintaining applications, gathering requirements, supporting project delivery, and ensuring data and AI governance. The role also involves stakeholder collaboration, presentations, training, troubleshooting, and continuous process improvement.

Builds and maintains fraud and financial crime analytics capabilities, including rule-based and machine learning models, detection algorithms, dashboards, and model governance. Responsibilities include data wrangling, exploratory analysis, feature and model selection, model testing, recalibration, bias assessment, regulatory response, and stakeholder communication. The role also identifies analytics opportunities, supports high-priority projects, and recommends advanced data science practices across the bank.

Supports EHS governance for general contractors across data center construction and operations. Responsibilities include onboarding and qualification reviews, compliance documentation, site data management, dashboards, audit and inspection support, corrective action tracking, field observation administration, performance reporting, and lessons-learned activities. The role analyzes EHS trends, verifies corrective actions, maintains accurate records, and supports continuous improvement while working with EHS managers and contractor teams.

Build and operate scalable financial market data infrastructure, including source evaluation, ingestion, cleansing, modeling, real-time and batch processing, quality governance, reconciliation, monitoring, and data services. Develop Flink-based pipelines supporting trading, research, and AI applications. Partner with product, trading, compliance, procurement, and engineering teams to define data contracts, source strategies, and consistent financial data semantics across markets.

Designs and maintains data pipelines, models, storage solutions, dashboards, and analytics frameworks for rail asset management. Analyzes asset data to identify trends and support decision-making, ensures data quality and accessibility, translates stakeholder needs into technical specifications, and collaborates with LTA teams, rail operators, and manufacturers on implementation, testing, and commissioning.

Supports HR operations across the employee lifecycle, including onboarding, benefits administration, employee relations, offboarding, compliance, organizational change, HRIS data management, reporting, and employee record maintenance. The role collaborates with departments, contributes to HR initiatives, ensures data accuracy, and supports HR projects under general supervision.

Leads advanced data analysis projects using statistical models and predictive techniques to solve complex business problems. Develops dashboards, visualizations, insights, and recommendations for senior stakeholders while partnering with business leaders on data-driven improvements. Mentors junior analysts and independently manages high-visibility analytics initiatives.

Leads APAC finance and accounting across multiple jurisdictions, overseeing reporting, close processes, audits, tax, treasury, financing, controls, compliance, M&A integration, and process transformation. Advises senior leaders, investors, lenders, auditors, and regulators while building and developing a high-performing regional finance organization. Supports business expansion, capital deployment, governance, and operational excellence across the APAC portfolio.

Own production data platform reliability, monitoring, observability, incident response, data quality controls, and operational improvements. Build automated monitoring and validation frameworks for Databricks and Airflow environments, define SLAs and SLOs, conduct root cause analyses, maintain runbooks, and support production data products. Partner with engineering, platform, governance, and business teams to improve resilience and supportability while mentoring junior engineers.

Leads sustainability strategy and environmental initiatives across data centre sites. Responsibilities include improving energy efficiency and PUE, procuring renewable energy, managing carbon and water metrics, implementing waste reduction programs, maintaining green certifications, preparing sustainability disclosures, and ensuring regulatory compliance. The role also coordinates onsite teams, contractors, engineers, executives, and international clients while integrating sustainability requirements into data centre construction and operations.