Top Data Engineer Jobs in Singapore

Design and implement data models, build ETL pipelines, manage data quality and governance, and leverage AI in data engineering.

As a Data Production Engineer, you will support automated trading systems, manage data processes, and collaborate with teams to prepare data for analysis.

The role involves overseeing the architecture, development, and operations of data and AI platforms, mentoring a team, and resolving complex challenges using innovative solutions.

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

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 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.

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

The Data Engineer will design and build data onboarding pipelines and workflows, collaborating with traders and researchers to improve data accessibility and efficiency in trading processes.

The role involves designing and maintaining ETL processes, building scalable data systems, optimizing infrastructure, ensuring data quality, and mentoring junior engineers.

The Senior DevOps Engineer will lead DevOps strategy, manage cloud infrastructure, enhance data tools, and ensure operational stability across teams.

The (Senior) Data Platform Engineer will design and build data pipelines, manage data infrastructure, and ensure data quality and consistency across the Growth Data Platform.

As a Senior Data Platform Engineer, you will design and optimize data infrastructure, develop data processing systems, and mentor junior engineers to drive data-driven initiatives.

Lead the architecture and development of data and AI platforms for Airwallex, mentoring teams and advocating for best practices. Engage in hands-on problem resolution and drive data-driven decision-making across the company.

As a Senior Software Engineer in Data & AI Infrastructure, you will develop scalable data solutions, manage systems like Kafka and Spark, ensure compliance with security policies, and collaborate with cross-functional teams.

As a DevOps Engineer, you'll design and maintain cloud infrastructure for data engineering, improve operational capabilities, and build consensus on practices among global teams.

Design and implement scalable data models, manage ETL pipelines, ensure data governance, and collaborate across teams to address complex data challenges.

The Associate Data Engineer will contribute to Machine Learning and NLP projects, collaborate with cross-functional teams, and enhance threat detection through data-driven intel.

Design and architect scalable backend services, develop robust governance systems, build SaaS solutions, and mentor junior engineers to enhance IoT platform capabilities.

Design and maintain ETL/ELT processes, data pipelines, and dashboards while ensuring data quality. Collaborate with stakeholders to meet data needs.

The Senior Data Engineer develops and maintains scalable data infrastructure and pipelines, ensuring data quality and accessibility for data-driven decision-making.

Oversee operations of big data platforms, monitor services, manage configurations, address vulnerabilities, and develop automation scripts for operational consistency.

As a Data Engineer (Compliance), you will manage SQL scripts for compliance monitoring, handle data governance, and ensure regulatory compliance while collaborating with various stakeholders.

Develop and maintain data pipelines, support data collection, build datasets for AI evaluation, and create dashboards for monitoring product metrics.

The Data Engineer will design, build, and maintain data systems and pipelines, collaborate with teams, and ensure data quality for analytics.

Data Developers at Rimes build and maintain ETL pipelines for financial datasets, ensuring data accuracy and managing integrations with multiple data vendors.