Top Data Engineer Jobs in Singapore

Responsible for maintaining the raw data pipeline for Tencent's overseas games, optimizing data processes and collaborating with teams for analytics.

As a Data Engineer, you will collect, design, store, and process data while ensuring data integrity and building metrics for eCommerce business.

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 at Sporty, you will design and maintain data pipelines, ensure data quality, and work on data applications and architectures for machine learning initiatives.

The Data Engineer Intern will enhance data pipelines, perform data profiling, and ensure data accuracy for analytics purposes while learning data engineering skills.

As a Cloud Data Engineer, you'll bridge business needs and data solutions, develop AI PoCs, and ensure data is secure and effective.

Seeking a Mid-level Data Engineer with 3-5 years of experience in data engineering, familiar with SQL, Python, cloud platforms, data warehousing, and ML operations.

The job involves developing data solutions based on business requirements, managing data architecture, and optimizing performance in a data platform.

Design and implement data processes and infrastructure for quantitative research and trading, while maintaining data health and supporting internal users.

As a Data Science Engineer, you'll extract and cleanse data, perform statistical modeling and analysis, develop software solutions, and effectively communicate insights.

As a Data Engineer, you will develop and maintain IT systems supporting data management while analyzing needs and improving processes for data collection and reporting.

As a Data Engineer at OKX, you will design efficient data pipelines, build cloud infrastructure, improve data processes, and collaborate with teams. You will ensure data integrity and drive solutions for improved products and services.

As a Data Engineer II, you will build analytical solutions utilizing vast datasets, develop algorithms, and manage data workflows to drive business insights and enhance product development.

The Senior Data Engineer will develop and maintain scalable data pipelines, enhance data accessibility, collaborate with teams for data modeling, and ensure data quality.

Lead the design and development of data warehouse systems, collaborate with stakeholders, and guide a team of data engineers to implement scalable ETL jobs and data solutions.

As a Data Engineer at Kyndryl, you'll design and manage data platforms, ensuring data quality and availability for decision-making, and collaborate with teams to create AI solutions.

The Senior Developer will develop and enhance applications using Java and Python, focusing on performance and scalability, implement event processing technologies, manage cloud-based solutions on AWS, optimize Kubernetes clusters, and conduct quantitative analysis. Responsibilities also include collaborating with teams to improve trading and analytics workflows, providing technical support for developed systems, and maintaining statistical reporting systems.