Top Data Jobs in Singapore

Manage data center site selection activities, including sourcing, evaluation, due diligence, and acquisition strategy to support Vantage's expansion across APAC.

The DevOps Engineer designs, tests, implements, and maintains software code, translating business requirements into technical solutions and managing deployment processes.

The Senior Associate Security Technical Services Systems Integration Specialist manages installations, configurations, and troubleshooting for security solutions, ensuring alignment with SLAs and project requirements. They also assist in documentation and project administration, focusing on technical design and security technologies.

The Data Scientist will develop and deploy ML models, conduct data analysis, optimize air traffic solutions, and maintain pipelines in a collaborative environment.

Lead the design and development of Data and Analytics Architecture, enhance data management and governance, and promote data-driven culture within the organization.

Responsible for designing and maintaining data pipelines for Air Network Planning analytics. Collaborates with analysts and scientists to ensure data quality and reliability.

Manage the design and lifecycle of Web3 infrastructure products, ensuring data accuracy, user-centric design, and regulatory compliance while collaborating across teams.

Design and optimize big data solutions using Spark, Scala, ElasticSearch, and more. Collaborate on data engineering, implement CI/CD, and ensure data quality.

The Quantexa Data Engineer will design and optimize big data solutions, build data processing pipelines, and integrate Elasticsearch with Spark, collaborating with teams to ensure data quality and governance.

Design and implement data pipelines and warehouses, ensuring data cleanliness and transformation, while collaborating with cross-functional teams in an Agile environment.

The role involves developing and optimizing a Data Governance Framework, providing consultation, and implementing governance solutions within the Global Operations team.

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

The Data Analytics Senior Lead Engineer manages complex data projects, leads a team, and makes strategic recommendations based on data insights to improve product capabilities across multiple business regions.

The GPS Associate will support market data through software solutions, automation, and collaboration within cross-functional teams while participating in a two-year developmental program.

The VP, Lead Functional Business Analyst will manage stakeholder relationships, oversee requirements analysis, and lead a team of business analysts focusing on AML and KYC processes within the bank.

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.

Collect and analyze data related to user behavior and market trends. Develop data visualizations and support A/B testing for product features.

Lead development of enterprise analytic data products, execute data strategies, and communicate technology concepts while guiding and mentoring teams.

The Senior Associate Data Centre Operations Analyst designs, analyzes, and maintains critical infrastructure systems, ensuring optimal functionality and compliance with safety standards in data center environments.

As a Data Analyst, you'll analyze patterns, provide insights, track KPIs, and develop dashboards to improve service delivery and customer experience.

Responsible for designing and overseeing data architecture, leading data engineers, and implementing enterprise-level data solutions in a cloud environment.

The Data Architect will design and maintain data architecture frameworks, create data models, and provide solutions for data architecture. Must drive change management and understand analytics trends.

The role requires managing large Big Data projects, focusing on Hadoop ecosystem architecture and development with specific technologies like Spark, Hive, and Java, among others.

The Big Data role requires expertise in Hadoop, Spark, and various development tools, focusing on Big Data analytics and architecture.

The Data Analytics Developer role requires experience in finance, specifically in banking and financial services, strong data analysis skills, and knowledge of PL/SQL.