Top Data Jobs in Singapore

The Kubernetes Migration Engineer executes the migration and deployment of workloads to Azure Kubernetes Service, supporting configuration, monitoring, troubleshooting, and ensuring operational stability.

The Application Technical Lead is responsible for leading application discovery, migration planning, and providing technical governance for enterprise infrastructure transformation, with a focus on Azure IaaS and hybrid cloud solutions.

Lead end-to-end Virtual Machine migration from on-premise to Azure. Ensure cohesive delivery covering assessment, execution, and stabilization. Provide advanced technical support for complex escalations and drive operational excellence in cloud environments.

The Cloud Engineer executes the migration of on-premise virtual machines to Azure, ensures operational stability, troubleshoots issues, and adheres to ITIL processes.

The Database Engineer manages database migration to Azure, supports SQL Server and MySQL operations, ensures performance and security, and troubleshoots issues within SLAs.

The Data Engineer 2 will design, develop, and maintain data pipelines, frameworks, and models, ensuring data quality and governance while collaborating with scientists and analysts.

The Senior System Engineer will perform operational tasks, provide support for escalated incidents, implement automation, and manage technology projects.

As a Senior Client Manager, you will manage and grow client relationships, drive expansion, and ensure satisfaction throughout the client lifecycle. You'll leverage sales tools, develop effective communications, and contribute to revenue growth while coordinating internal and external resources for sales opportunities.

The DevOps Engineer is responsible for designing, implementing, and maintaining software solutions based on business requirements, utilizing multi-technology applications and CI/CD processes.

The Vice President of Investment will evaluate investment opportunities, structure transactions, manage due diligence, and collaborate with advisors while supporting asset management initiatives.

Manage HR data engineering initiatives by building data warehouses and pipelines. Transition to analytics, generating reports and dashboards for informed HR decision-making.

The Executive in CRM, Data Analytics & Customer Experience supports customer engagement initiatives through managing CRM programs, customer feedback, and performance analytics to enhance satisfaction and loyalty.

Lead a rapid‑response PMO to drive enterprise transformation across AI, data analytics, digital assets and platform initiatives. Diagnose complex cross‑domain problems, prototype and scale production solutions, institutionalise reusable architectures and governance, manage partners, and align stakeholders to accelerate secure, compliant, and enterprise‑grade innovation.

Lead the development and deployment of Generative AI applications, collaborate with teams to deliver business use cases, and enhance data science skills.

The Data Scientist will identify new data sets, build processes for data collection, analyze data for potential applications, and research alpha signals for portfolio managers.

Lead a unified data and experimentation framework across the company, engaging with core business lines to support data-driven decision-making, while ensuring data quality and governance.

The Data Analyst will analyze financial datasets, create data pipelines, engage with vendors, automate data checks, and support investment teams.

The role involves data analysis to support HR decisions, establishing KPIs, creating reports, and improving HR processes with a focus on data-driven insights.

The Network Technology Sales Specialist engages with clients, identifies opportunities, presents solutions, manages sales processes, and fosters relationships with senior executives to drive growth for NTT DATA.

The Specialist in Data Analytics will analyze data to provide insights for business decisions, create reports, and collaborate on digital strategies to enhance APAC's eCommerce ecosystem.

The role involves analyzing datasets, developing dashboards, building data pipelines, and collaborating with teams to translate findings into business strategies.

Conduct data analysis and machine learning to improve account safety on WeChat, track fraudulent accounts, and detect anomalies.

This role focuses on driving enterprise data governance, including policies, training, AI governance, and collaboration with technology teams to implement data management practices.

The Energy Strategy Manager evaluates early-stage energy strategies for data center developments, ensuring feasibility and risk assessment while collaborating with teams on strategy formulation and presentation to leadership.

The Senior Data Engineer will design and maintain data pipelines, implement Medallion architecture, develop ETL/ELT processes, and improve data quality while collaborating with analysts to derive insights from data.