Top Data Jobs in Singapore

The Director of Platform Success is responsible for accelerating platform adoption and business transformation across APAC, ensuring alignment with global strategies while delivering measurable outcomes for regional growth.

As an Enterprise Architect, you will guide major clients in digital transformation and technology roadmap alignment using Salesforce solutions, building relationships and delivering enterprise-level insights.

The Account Executive engages with customers to sell Salesforce solutions, focusing on building relationships and developing strategies to meet customer needs.

As a Data Engineer, you'll own the data infrastructure for business reporting and analytics, focusing on AI features. Responsibilities include designing data pipelines, ensuring data quality, and collaborating with AI product teams.

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.

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

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

Lead development of personalization and recommendation systems using large-scale transactional data. Define model strategy, build and deploy scalable ML pipelines, run experiments to measure impact, mentor data scientists, and collaborate with Product and Engineering to drive customer engagement and transactions.

As a Senior Data Scientist, you'll design and implement advanced retrieval and ranking algorithms for GoFood and GoPay, enhancing user experience and business impact through innovative solutions.

The Data & AI Engineer role involves building scalable data pipelines, analytics tools, and applying AI techniques to enhance product performance and operational efficiency in manufacturing operations.

The Data Architect will define and maintain data architecture, drive data solutioning, establish governance frameworks, guide implementations, and collaborate with teams in the healthcare sector.

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 Data Scientist will develop AI-driven solutions for supply chain optimization, utilizing advanced analytics, machine learning, and statistical modeling to deliver business impact.

This role involves providing technical support, implementing, and maintaining enterprise IT infrastructure, including troubleshooting, system upgrades, and supporting disaster recovery planning.

The Senior Network Engineer leads global network operations, large-scale projects, and process improvements, ensuring network performance, reliability, and security. They collaborate on network design, manage migrations, and maintain infrastructure in a hands-on role covering multiple global sites.

As a Data Engineer, you'll design and develop cloud-native data platforms, create scalable data pipelines, and support analytics and reporting across teams.

Responsible for managing and expanding enterprise accounts, driving revenue growth through strategic partnerships, client engagement, and deal closure. Requires influencing senior stakeholders and executing complex sales cycles.

The intern will set up and deploy data processing pipelines, collaborate with clients for feedback, and conduct research for product innovation in fraud detection and automation.

The role involves driving AI and Data governance strategies, collaborating across teams, assessing data and AI risks, and improving data quality initiatives within the bank.

Regional advisor providing technical MEL and conservation data support across Asia Pacific. Build relationships with regional leaders, align data quality and reporting standards, deliver analytics and dashboards, coach teams on evidence-based adaptive management, and scale CDT offerings while ensuring cultural relevance and measurable impact.

The Assistant Data Analyst Manager will lead an analytics team, manage stakeholder relations, oversee Power BI projects, and contribute strategically to data initiatives.

The BI Data Analyst designs and supports BI solutions using Power BI, engages with business stakeholders, and develops analytical tools to support commodity trading operations.

The Director of Investment will identify, structure, and negotiate investment opportunities, manage due diligence, and mentor junior team members.

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