Top Data Jobs in Singapore

The Data Centre Engineer will manage data and colocation centres, coordinate logistics, and ensure operational standards for security and upkeep.

The Data Engineer will support the Data Movement project by building, integrating, and testing a Data Toolkit, focusing on data ingestion and observability.

The Data Engineer will design, develop, and maintain data ingestion and processing jobs, ensuring smooth operations and addressing production issues.

Lead initiatives to enhance yield and quality in HBM product engineering through advanced data analysis and machine learning, collaborating across teams and mentoring members.

Lead initiatives to enhance yield and quality through advanced data analysis, machine learning, and AI. Develop algorithms and collaborate across teams to optimize performance metrics.

Lead a high-performing team to enhance yield and quality through advanced data analysis, machine learning, and AI, collaborating with cross-functional teams to achieve strategic objectives.

The SAP BTP/CPI Lead oversees SAP cloud-native application design, CPI project management, and integration architecture, ensuring solutions align with business objectives and security standards.

The Software Applications Development Engineer develops and improves applications based on client needs, designs and writes code, tests applications, and communicates with stakeholders. Requires proficiency in multiple programming languages and software development processes.

Lead design and implementation of SAP SuccessFactors solutions, engage with clients to customize projects, facilitate training, and mentor junior consultants.

As a Solutions Architect, you will design complex solutions, evaluate architectures, gather client requirements, and contribute to new services while adapting to technology trends.

As a Client Manager, you will build client relationships, ensure satisfaction, drive sales growth, and develop account strategies using Salesforce.com.

The Senior Manager, Cloud Solutions oversees platform architecture deployment, manages collaborations, ensures optimal platform functioning, and drives operational excellence.

The role involves leading SAP ABAP development, delivering solutions using SAP BTP and CPI, mentoring juniors, and troubleshooting technical issues.

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.

The Data Architect will lead design and implementation of a Data Warehouse, ensuring data governance, security, and analytics capabilities while collaborating in a multinational agile team.

The Data Science Senior Analyst conducts strategic data analysis, develops recommendations, drives analytics initiatives, and solves complex system issues while providing user support and ensuring quality in project execution.

The Data Governance Officer develops data standards, manages data quality metrics, maintains documentation, and collaborates with teams to enhance data management and compliance.

The Data Platform Architect will design and maintain BitMEX's data platform in AWS, implement a decentralized architecture, and manage open-source tools for data processing and analytics, emphasizing custom solutions and security optimization.

Responsible for managing the full lifecycle of data centre projects including planning, execution, quality compliance, and stakeholder communication.

The Data Analyst role focuses on analyzing and visualizing operational data to identify trends and improvements, collaborating with teams to implement solutions.

The MSAT Process Data Scientist Intern will assist in setting up bioprocess data frameworks and systems, enabling data analysis and visualization for process engineers, and ensuring compliance with Good Manufacturing Practices in a biopharmaceutical facility.

The role involves developing analytical models, collaborating with teams on process improvement, maintaining data integrity, and coaching on machine learning techniques.

As a Digital Data Analytics Intern, you will support data scientists and manage operational data to build predictive models. Responsibilities include developing dashboards and participating in business use cases with engineers and chemists.

The role involves data analysis to support HR decisions, establishing KPIs, creating reports, and improving HR processes with a focus on data-driven insights.

Assist in data analysis, perform data validation, collaborate with teams, and create visualizations for business insights.