Top Data Jobs in Singapore

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.

The IBM FileNet/Data Cap Administrator is responsible for the installation, configuration, and administration of IBM FileNet and Datacap applications, as well as performing system maintenance and upgrades.

The Data Analyst will work with users and technical teams to implement data warehouse solutions, perform data quality checks, and deliver functional specifications. Banking experience is essential.

The Sr Big Data Engineer will develop data pipelines using big data technologies, manage projects, and implement data modeling for analysis while ensuring efficient querying and performance.

Seeking a Data Analyst to analyze data sets, generate reports, and support data-driven decision-making within the company.

The Business Development Executive will build relationships with healthcare stakeholders, identify growth opportunities, support proposals, and engage in market expansion while tracking trends in the Singapore healthcare ecosystem.

The intern will solve deep learning and computer vision tasks, design and deploy models, develop tests, and communicate with the team.

As a Data Engineer, you will build ingestion pipelines, develop applications, support cloud services, and ensure quality engineering in Agile environments.

Design and develop scalable data pipelines, build ingestion frameworks, create APIs, and operationalize ML models while ensuring security.

The Finance Compensation Data Specialist will manage compensation data reports, analyze data for business insights, and ensure compliance in financial operations.

The Data Engineer is responsible for designing and maintaining scalable data systems, building data pipelines, and collaborating with teams to support analytics and AI use cases.

Manage project lifecycles, develop and execute project plans, collaborate with stakeholders, and ensure timely delivery within budget while mitigating risks.

The role involves designing complex solutions, providing presales support, managing client POCs, and mentoring junior architects while influencing the sales team.

As an Application Presales Architect, you will design transformative solutions, support business development, and manage client initiatives, ensuring successful project transitions and client relationships.

The role involves designing technical solutions, managing project scoping, providing pre-sales support, and ensuring alignment of solutions with client needs.

As a Senior Cross-Technology Technical Architect, you will design transformative solutions, support presales, manage client relationships, and mentor junior architects.

Lead large-scale analytic projects focusing on driving business impact through strategic analysis and machine learning/NLP models in the financial sector.

The Data Reliability Engineer will maintain and optimize data infrastructure, debug ETL processes, and collaborate with teams on data workflows. Requires experience in large-scale data systems and monitoring tools.

Responsible for sales results in mid-size and large accounts, developing customer relations, analyzing sales data, and driving innovative products.

The Head of Fraud Solutions - APAC will oversee the fraud solution suite, drive account expansion and collaborate with various teams to ensure project success and customer satisfaction.

Join Razer as a Data Engineer to build data infrastructure for AI and machine learning, focusing on optimization, data pipelines, and collaboration with teams for AI-driven initiatives.