Top Data Jobs in Singapore

As a Staff Data Platform Engineer, you will oversee the architecture and operation of data and AI platforms, influence decision-making, and mentor a high-performing team.

As a Senior Data Platform Engineer, you will design and optimize data architectures, develop large-scale distributed systems, and mentor junior engineers while advocating for high-quality software practices.

The role involves leading a team to develop and maintain data infrastructure, design scalable software applications, ensure quality, and collaborate with cross-functional teams.

The role involves designing and maintaining data pipelines, collaborating on data architecture, and integrating external data sources to optimize data operations.

As a Senior Machine Learning Engineer, you will analyze business needs, develop ML solutions, and collaborate on risk management in international payments.

The role involves analyzing large data sets, applying statistical techniques, and collaborating with cross-functional teams to drive product strategy and improvements.

Lead the Payments Optimization team at Airwallex, focusing on improving payment success rates through advanced data science techniques like contextual bandits and predictive modeling.

The role focuses on advancing data and AI governance, implementing innovative strategies, maintaining compliance, and integrating governance controls into workflows. Responsibilities include proactive detection systems and collaboration across teams to ensure operational efficiency and audit readiness.

The Strategic Enterprise Account Executive will grow strategic accounts, manage customer relationships, drive sales, and expand Databricks usage across organizations.

Develop next-gen data infrastructure solutions for AI initiatives, collaborating with data teams and ensuring system reliability and compliance.

The Senior Data Engineer will design and implement ETL processes, manage data pipelines, ensure data governance, and leverage AI in data systems while collaborating cross-functionally.

As a Data Engineer II, you'll design data models, manage ETL pipelines, ensure data governance, and explore integrations with AI to enhance data solutions.

The Head of Financial Services APJ GTM Leader will drive Databricks' GTM strategy in Asia Pacific, develop partnerships, advise customers, and lead cross-functional teams.

Data Engineers will design, build, and optimize data pipelines and frameworks for Data Warehouse and Data Lakehouse solutions, ensuring quality and efficiency while adhering to compliance standards.

The Data Architect will lead design and implementation of a Data Warehouse, ensuring data governance, security, and analytics capabilities while collaborating in a multinational agile team.

The Sales Specialist for Data & Feeds will drive gross sales of pricing and reference data services, engaging with institutional clients, and handling regulatory compliance needs. They will collaborate with account managers and drive revenue growth through relationship building in various departments.

Lead the South APAC region sales for Digital Wealth Solutions, managing a team and driving revenue growth through client engagements and strategic leadership.

As a functional business analyst, you will collaborate with teams to gather requirements, propose solutions, and ensure quality deliverables for data and CRM projects in the banking sector.

Work with project teams on datamart and CRM systems, liaising with stakeholders, defining requirements, reviewing specifications, and participating in UAT.

The Data Engineer will design, build, and maintain data pipelines and systems for analytics and work collaboratively on IT projects for government agencies.

The Data Scientist discovers hidden information in data, applies data mining techniques, and collaborates with stakeholders to enhance decision-making and business value.

Oversee end-to-end delivery of IT infrastructure services, manage incident and change processes, ensure compliance, and lead operations teams while enhancing service delivery through continuous improvement initiatives.

The Lead Data Scientist will develop and deploy advanced analytics and machine learning models, mentor a data science team, and collaborate with stakeholders to drive value from analytics solutions.

The role involves collecting and analyzing complex data to provide insights, creating dashboards, and collaborating with teams to drive digital growth and strategy.

As a Data Scientist at Ziplines, you will develop data models, create dashboards, and deliver insights to influence strategic decisions across teams.