Top Data Jobs in Singapore

Design, build, and optimize data pipelines and DBT projects. Collaborate with teams to improve data-driven decision-making and advocate automation.

The Data Engineering Manager leads data infrastructure design on Alibaba Cloud, mentors data engineers, and ensures data governance and compliance while optimizing data workflows.

Design, develop, and maintain data pipelines, optimize SQL queries, and ensure data quality while collaborating with stakeholders in the banking sector.

The Senior Data Scientist will leverage Machine Learning techniques to optimize game development processes, enhance workflows, and collaborate with teams to improve player experiences.

As an Expert Software Engineer, you will lead engineering teams, drive technical initiatives, and oversee the development of a scalable Data Orchestration SaaS product for financial risk management.

Support the Data Governance team by capturing business terms, implementing data quality rules, and ensuring ethical AI standards for models.

The role involves owning AI/ML projects, collaborating with teams to design solutions, stakeholder management, and maintaining documentation while ensuring compliance with data privacy regulations.

The Data Analyst II will resolve complex data issues, create visualizations, analyze datasets, ensure data quality, and support data infrastructure needs.

The Cybersecurity Engineer will manage cybersecurity projects, oversee risk management, support compliance initiatives, and respond to security incidents, ensuring effective communication and documentation within the team.

Manage daily data privacy operations, including data subject requests, privacy assessments, incident management, and regulatory compliance.

Drive new business across Southeast Asia and Australia by building pipeline, handling inbound/outbound leads, engaging prospects online and in-person, closing deals, and expanding existing accounts.

As a Senior Data Scientist, you'll develop models and insights from big data, collaborate with teams to solve operational issues, and enhance products using data analytics and simulations.

The Data Scientist will analyze large datasets, develop algorithms, and provide actionable insights using statistical and mathematical techniques, collaborating with various teams.

As a Senior Data Scientist, you will develop digital twin solutions and predictive analytics to enhance semiconductor manufacturing processes using AI and machine learning.

The role involves ensuring compliance with quality standards in biopharmaceutical manufacturing, providing QA consultation, managing KPIs, and implementing compliance initiatives.

The intern will support the Business Decisioning and Analytics team by operationalizing AI and data analytics best practices, contributing to data innovation initiatives, and learning about the impact of technology in banking.

This internship involves leveraging AI and data analytics for business decision-making, supporting use case testing, and contributing to data innovation initiatives.

The Data Manager oversees engineering project data management, ensuring accurate data collection, configuration of data systems, and training project teams on management tools.

This role involves building a database solution for South Asia, managing data standardization, cleansing, validation, and providing insights from data.

As an Actuarial Intern, you will support database solutions, manage data flow, validate data, and collaborate with teams on data initiatives.

Lead and execute the regional data, analytics, and AI strategy while overseeing implementation, collaboration, team development, and governance compliance.

The role involves leading technical architecture for data and AI solutions, guiding customers on integration with Salesforce and external platforms, and developing prototypes and best practices.

The Data Analyst will analyze complex datasets to derive insights for government initiatives, ensuring compliance with AI and data governance standards.

The Data Programme Manager will lead large-scale programmes, ensuring successful delivery through Agile or Waterfall methodologies while fostering client relationships and team development.

Oversee data center operations, manage engineering teams, ensure compliance and maintenance, meet KPIs within budget, and liaise with contractors.