Top Data Jobs in Singapore

Assist the Group Internal Audit team with digital transformation, process improvement, and analytics use cases for auditing and risk measurement.

As an AI/Model Governance Intern, you'll support AI governance processes, maintain model inventory systems, ensure data quality, and contribute to projects on AI risk management.

The role involves providing managed services, automating system processes, monitoring infrastructure, resolving incidents, and ensuring system reliability across varied technology domains.

The Cloudera Data Engineer is responsible for building and managing data pipelines and platforms, focusing on the Cloudera Hadoop ecosystem while collaborating with data teams.

Lead the design and implementation of a secure, scalable cloud data platform on AWS, integrating various tools for data management and analytics while ensuring compliance and security.

Lead the implementation of data analytics strategies, managing interdisciplinary teams to deliver data projects, overseeing budgets, and ensuring client engagement.

The role involves overseeing data center infrastructure, managing teams, optimizing processes, and ensuring operational efficiency in cloud operations.

The Data Engineer will optimize data infrastructure, develop scalable ETL processes, establish data governance, and collaborate with data teams to ensure data accuracy and performance.

The Software Applications Development Engineer develops and improves applications, tests them, communicates with stakeholders, and ensures alignment with client needs and performance requirements.

Leverage structured and unstructured data to solve business problems, develop machine learning models, and work on AI applications for financial services.

The role involves developing and optimizing both offline and real-time data pipelines, ensuring data quality and collaborating across multiple teams to meet business requirements.

Responsible for designing, developing, and implementing Big Data products and backend systems, with a focus on on-chain data within Web3 applications.

Lead design and implementation of Big Data architectures on Alibaba Cloud and AWS, optimize performance, ensure data quality and security, and build data pipelines.

The Data Scientist role involves designing AI-driven solutions for gaming, using Reinforcement Learning and collaborating with engineers to enhance game experiences.

As a Transformation Consultant, you'll lead strategic projects, engage with clients, identify business opportunities, and support sales to enhance organizational capabilities.

The Data Management Analyst supports data management initiatives, performs data validation and reconciliation, and collaborates with stakeholders for data quality and governance.

The Data Engineer designs and maintains data architectures and pipelines, processes datasets, optimizes ETL processes, and collaborates with teams to support data-driven decisions.

The Solutions Architect will engage with clients to design networks, manage projects from presales to delivery, and ensure technical implementations meet client needs.

Deliver technical solutions and support clients by troubleshooting, designing, and configuring systems. Lead projects and enhancements leveraging expertise in networking technologies.

The Sales Strategist will drive complex deal-making and financial strategies, support sales teams, and optimize revenue for large transactions and partnerships.

As a Data Engineer at SHOPLINE, you'll be responsible for managing payments data, enhancing data quality, and constructing business evaluation metrics while collaborating across functions.

Analyze blockchain data, creating efficient query solutions and fraud detection methodologies while ensuring data integrity and transforming customer data needs into actionable insights.

The Data Scientist will develop AML detection models, analyze datasets for suspicious patterns, automate data pipelines, and prepare reports for stakeholders.

The Senior Data Scientist will identify fraud patterns, develop machine learning models, collaborate with technical teams, and provide analytical insights to mitigate risks in crypto transactions.

Design and architect data storage solutions, create and manage data pipelines, implement automation, and ensure data quality and compliance using AWS and Databricks while collaborating with cross-functional teams.