Top Data Jobs in Singapore

As a Senior Cross-Technology Technical Architect, you will design transformative solutions, support business development, mentor junior architects, and influence sales strategies, ensuring successful implementation for clients.

The Data Processing Specialist will assist in records management and data privacy efforts to support customer needs at Iron Mountain.

This role involves designing and developing AIML/GenAI solutions, collaborating with engineering teams, and translating business needs into AI-driven solutions.

Design and develop GenAI solutions for applications and tools, collaborate with teams, optimize AI pipelines, and document workflows.

Lead stakeholder relationships, analyze business capabilities, manage compliance technology needs, coach team members, and ensure compliance with regulatory expectations in banking.

As a Data Engineer, you will build and maintain data infrastructure, ensuring data quality, reliability and accessibility for analytics and product insights.

The Associate Data Engineer will contribute to Machine Learning and NLP projects, collaborate with cross-functional teams, and enhance threat detection through data-driven intel.

The Senior Sales Engineer assists customers with evaluating system configurations, defines product requirements, and develops sales strategies while showcasing technical expertise in storage solutions.

The role involves managing day-to-day operations of Zscaler services, troubleshooting incidents, policy administration, and integration management while ensuring secure and reliable user connectivity.

The Data Science Consultant supports marketing through data analysis, machine learning, and data engineering to drive business impact in luxury and consumer goods.

Design and develop advanced Reinforcement Learning (RL) solutions for gaming, optimizing agent performance, and collaborating with engineers and developers.

The Transaction Director leads a team in managing real estate transactions for data centers across APAC, ensuring successful site acquisitions and collaboration with stakeholders.

As a Data Scientist, you'll analyze structured and unstructured data, apply statistical methods, develop algorithms, and communicate insights to influence business strategies.

Analyze DTC & sales performance, design measurement plans, maintain dashboards, and collaborate with teams to drive data-informed decisions.

Analyze customer service performance, validate customer service signals, build dashboards, and partner with stakeholders for data-informed decisions.

As a Data Engineer at Xtremax, you'll design, build, and maintain data pipelines, collaborate with various teams, and transform data for analytics.

The Product Deployment Lead connects platform products to live projects, ensuring adoption and deployment readiness while translating operational feedback into improvements. They oversee regional alignment and product fidelity to enhance project outcomes and customer confidence.

The Senior Network Engineer oversees global network operations, leads large-scale projects, and ensures network reliability and performance. Responsibilities include designing network systems, managing migrations, collaborating with cybersecurity, and maintaining documentation.

The Master Data Specialist manages master data governance and continuous improvement across Asia, ensuring data accuracy and compliance while collaborating with various teams for operational excellence.

The Data Analyst Intern will analyze user behavior, collaborate with various teams, build dashboards, and improve data systems to support growth and retention efforts.

As a Data Engineer at Visa, you will build scalable data pipelines, engineer GenAI features, and deliver Business Intelligence solutions while collaborating with cross-functional teams to enhance finance decision-making.

The role involves selling data management and AI platforms to enterprise customers, focusing on new customer acquisition and account growth through strategic positioning of modern data solutions.

The Data Engineering AVP will lead technical delivery for large data projects, focusing on developing cloud solutions and managing multiple vendor teams in a financial transformation context.

As a Full-Stack Engineer, you will develop infrastructure for data science applications, integrating full-stack development, cloud infrastructure, and supporting data systems.

Lead development of enterprise analytic data products, execute data strategies, and communicate technology concepts while guiding and mentoring teams.