Top Data Engineer Jobs in Singapore

Lead AI and Data Engineering projects, develop AI models, oversee data solutions and collaborate with teams to improve patient outcomes.

As a Data Engineer III at JPMorgan Chase, you will design and maintain scalable and secure data solutions, develop critical data pipelines, and analyze data risks. Collaborating with various stakeholders, you will support analytics teams while utilizing Agile DevOps practices and cloud technologies. Your role emphasizes building robust systems capable of handling large volumes of data and ensuring data accuracy and timeliness. You will also document processes and enhance team culture.

The Data Engineer will design and implement data platforms, manage data pipelines, ensure data quality, and mentor junior engineers, focusing on efficient data workflows and governance.

As a Data Engineer, you will design, build, and maintain data pipelines and architectures to support machine learning and business needs. You will ensure data quality and implement optimization for data delivery, collaborating with teams to integrate data capabilities.

The Data Engineer Intern will enhance existing data pipelines and create new pipelines crucial for analytics and AI/ML products. Responsibilities include data profiling, processing, and ensuring data accuracy. The intern will learn data engineering skills, data operations, best practices in Data Warehousing, and familiarize themselves with CI/CD, SQL design, and cloud computing technologies like AWS and Terraform.

The role is for a Mid-level Data Engineer with 3-5 years of experience, focusing on data modeling and ETL/ELT processes. The candidate must be fluent in SQL and experienced in Python, cloud providers, data warehousing, BI tools, and ML practices, all while working in a hybrid, distributed team environment.

The Data Developer will engage in data business development by analyzing existing backend data, overseeing data governance and optimization, and maintaining the data platform to ensure stability and performance. Responsibilities include applying data analysis algorithms, optimizing data structures, and resolving platform issues.

As a Data Engineer, you will design, implement, and maintain data processes and infrastructures for quantitative research and trading. Responsibilities include collaborating with traders and researchers, managing vendor datasets, building ETL pipelines, and ensuring data quality and health.