Top Data Jobs in Singapore

Support, design, and optimize LAN, WAN, data center, and cloud network infrastructure. Configure and manage routers, switches, firewalls, load balancers, and wireless systems. Troubleshoot network issues, analyze traffic, implement security controls (VPN, firewall rules, IDS/IPS), monitor performance, create documentation, and contribute to migrations, upgrades, and network projects alongside cross-functional teams.

The Data Strategy & Analytics Manager drives digital growth through analytics in marketing, campaign performance, and customer journey optimization. They lead data initiatives to enhance acquisition effectiveness, support strategic decision-making, and optimize user experiences, overseeing collaboration across various teams.

The Forward-Deployed Data Analyst will engage with African Ministries of Health, build data management solutions, develop dashboards, and support public health decision-making.

The Data Engineer designs and maintains data pipelines and systems, transforming raw data into insights by collaborating with project teams and utilizing various data processing tools.

The intern will support AI & Data projects by analyzing data, developing machine learning models, and assisting with data visualization and preprocessing.

Build, operate, and harden a cloud-native data platform on Kubernetes using IaC and GitOps. Provision and run lakehouse, streaming, orchestration, and managed DB services; implement governance, self-service interfaces, SLIs/SLOs, runbooks, incident response, upgrades, and platform security to keep multi-tenant data infrastructure reliable and scalable.

Design and deploy ML and RL solutions for air traffic optimization including transformers and RL agents; build RAG and LLM evaluation pipelines; implement MLOps with Kubeflow/Airflow, Docker/Kubernetes, MLflow/W&B; monitor models, automate pipelines, and collaborate with engineering teams for production integration.

Partner with Global Growth to design and ship experiments, optimize the self-serve onboarding funnel across stripe.com and dashboard, build ML and statistical models, run causal inference and experimentation, deploy models, and drive measurable product and business impact.

The Senior Sales Engineer assists customers with technical evaluations, develops sales strategies, and demonstrates expertise in storage products while supporting the sales team and its growth.

Lead early-stage technical development for APAC data center projects: perform site feasibility and due diligence, develop conceptual engineering and layouts, assess power and utility options, estimate CAPEX and schedules, manage stakeholder and authority engagement, identify risks and mitigations, and support transition to design and construction teams while aligning technical solutions with commercial strategy.

Inspect and profile new financial datasets, build and test conceptual/logical/physical data models, document field definitions and relationships, collaborate with Data Engineering to produce ETL/ELT-ready schemas, and maintain model alignment and data quality.

Design, build and operate scalable Databricks/PySpark data pipelines to ingest, transform and validate financial vendor data into production-ready datasets, partnering with product and client teams to meet quality and timeline requirements.

Build and deploy data processing pipelines (batch and real-time), clean and extract information, calibrate fraud detection models, collaborate with clients, and conduct R&D on machine learning, NLP, and image analysis to drive product innovation.

Work with client teams to frame data needs, analyze marketing/customer/product data, build and deploy ML and generative AI solutions, create dashboards, and support data transformation and enablement across luxury, consumer goods, and retail use cases.

Develop and maintain high-performance components of a distributed data platform in C++, including storage engines, query/compute execution, RPC/networking, and distributed coordination; collaborate with research and engineering teams, troubleshoot production issues, and participate in code review and productionization.

Own and build a streaming-first data platform for high-volume IoT telemetry: ingestion, medallion modeling (bronze/silver/gold), semantic metrics layer, data quality, observability, database architecture, self-serve analytics, and LLM-friendly tooling. Drive roadmap, dashboards, and rapid operational insights across a global robot fleet.

Lead data analysis and automation for Compliance reporting, building ETL and analytics solutions with Python, SQL and Starburst; create Power BI dashboards; ensure BCBS 239 and data governance compliance; act as Compliance Data Steward; collaborate with stakeholders to improve data processes and conduct business impact assessments.

Drive cloud and datacenter solution sales by pursuing qualified leads, generating pipeline, presenting tailored solutions, collaborating with pre-sales architects and vendors, running workshops, negotiating deals, managing opportunity and account plans, and building senior-level customer relationships.

Lead design and maintenance of scalable data pipelines, ETL/ELT processes, and data warehouse architectures. Optimize infrastructure and data quality, build automated monitoring, support high-priority analyses, and partner with Product, Engineering, and GTM teams to deliver actionable data solutions.

Gather and analyze business and risk requirements, produce functional designs for Market Risk systems, assess impacts, create test plans, execute UAT/regression/simulation tests, manage enhancement timelines, and provide BAU support including data sourcing, extraction, and analysis for market and liquidity risk data stores.

Support cost management for data centre projects including estimating, quantity take-offs, tender support, contract administration, cost tracking, monthly reporting, progress valuations, change control, value engineering, and maintaining audit-ready cost records under guidance of a Cost Manager.

Collect and analyze data related to user behavior and market trends. Develop data visualizations and support A/B testing for product features.

The Data Architect will design and maintain data architecture frameworks, create data models, and provide solutions for data architecture. Must drive change management and understand analytics trends.

The role requires managing large Big Data projects, focusing on Hadoop ecosystem architecture and development with specific technologies like Spark, Hive, and Java, among others.

The Big Data role requires expertise in Hadoop, Spark, and various development tools, focusing on Big Data analytics and architecture.