Top Data Engineer Jobs in Singapore

The Senior Data Platform Engineer will design, build and maintain data pipelines, optimize data processing, and collaborate on data handling solutions within the Growth Team.

As a Data Engineer at Nansen, you will build and optimize systems for their customer-facing analytics product, collaborating closely with crypto researchers and engineers to tackle large-scale data challenges and ensure data quality and reliability.

The Cloud Data Engineer designs and manages data storage solutions, optimizes data pipelines, integrates diverse data sources, and develops ETL processes using AWS and Databricks technologies.

Assist in building data pipelines, integrating data sources, and supporting data models and infrastructures for analytics needs.

Join Razer as a Data Engineer to build data infrastructure for AI and machine learning, focusing on optimization, data pipelines, and collaboration with teams for AI-driven initiatives.

The intern will manage data pipelines ensuring scalability and efficiency, collaborate with engineering teams, and enhance data processing methods.

The Junior Data Engineer will assist in building data pipelines, ensuring data quality, and collaborating with stakeholders to develop data solutions, while learning from senior engineers.

The Data Engineer Intern will enhance data pipelines, perform data profiling and processing, and support data-driven solutions while collaborating with data professionals.

As a Data Engineer at SHOPLINE, you'll be responsible for managing payments data, enhancing data quality, and constructing business evaluation metrics while collaborating across functions.

As a Data Engineer at Visa, you'll design, develop, and implement applications, focusing on Java technologies and REST APIs, while collaborating with teams and ensuring high performance and security standards.

As a Data Engineer at Nascent, you will identify novel data sources, develop pipelines, conduct exploratory analyses, and collaborate across teams to enhance trading strategies.

The Data Engineer will build and maintain ETL pipelines, design data transformations, and collaborate on modeling and performance optimization across data platforms.

The Data Engineer will design and build data platforms, manage data pipelines, ensure data quality, and mentor junior engineers.

Lead a team in data engineering, focusing on AWS tools and data visualization. Requires 5 years of experience and strong technical skills.

Collaborate with stakeholders to manage data needs, design infrastructure, create ETL pipelines, and monitor data health.

The Data Engineer will optimize data pipelines, collaborate on cloud infrastructure, and implement solutions for real-time data processing.

As a Data Engineer at Paradigm, you will architect and implement data infrastructure, build scalable pipelines and optimize data workflows to drive insights for decision-making.

The Data Engineer II develops data-driven solutions, builds data pipelines, and analyzes big data to support business insights and decisions.

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

Lead the design and implementation of AI-driven data models, integrate business processes, and enhance data architecture for Omio's AI transformation efforts.

The Data Engineer will manage patent data operations, design data processing solutions, monitor data quality, and optimize frameworks.

The Senior Data Platform Engineer will design and implement data processing systems, optimize data storage, and mentor junior engineers to enhance data-driven decision-making.

The Data Production Engineer will automate data tasks, support trading teams, analyze data sets, and ensure data pipeline quality and reliability.

Design and implement scalable ETL pipelines using AWS and Python, optimize data solutions, and ensure data quality and compliance.

As a Data Engineer Intern, you'll develop data pipelines, storage systems, and backend applications to support Razer's AI gaming products, leveraging cloud technologies and industry best practices.