Top Data Engineer Jobs in Singapore

The Associate Data Engineer will build and maintain data processing systems, develop data pipelines, manage data lakes and warehouses, and collaborate with data teams to enhance data usability for analytics and AI.

The Data Engineer Intern will design databases, improve data pipelines, and automate data processes for analytics, gaining hands-on experience in data operations.

The Data Engineer will enhance data capabilities, manage data pipelines, build data platforms, ensure data accuracy, and collaborate with business teams to define data requirements.

As a Data Engineer at Paradex, you'll design and build scalable data pipelines and ETL processes, ensuring data quality and accessibility, while collaborating with various teams to drive insights.

Manage patent data operations, analyze data requirements, ensure data quality, optimize processing frameworks, and collaborate with data architects.

Develop and optimize scalable data pipelines using AWS and Python, maintaining data quality and collaborating with analytics teams for business intelligence.

Design, build, and optimize data infrastructure and scalable pipelines. Support analytics and BI tools for actionable insights. Work with diverse datasets.

The role involves managing BI tools, developing ETL pipelines, creating documentation, training team members, and ensuring compliance with standards.

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.

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 Sr. Data Analytics Engineer, you will design data architecture, optimize data operations for compliance, analyze datasets for trends, and communicate insights to stakeholders.

As a Senior Data Support Engineer, you'll maintain and optimize data platforms, ensure operational excellence, collaborate with teams, and mentor junior members.

The Lead Data Support Engineer oversees incident management and ensures the reliability of data platforms, optimizing pipelines and mentoring junior staff.

The Senior Data Engineer will lead AI Data Engineering initiatives, designing scalable data pipelines and architectures to support AI/ML applications, ensuring data quality and compliance while optimizing collaboration with data scientists and AI engineers.

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