Top Data Engineer Jobs in Singapore

The Engineer - Cost Data & Analytics will analyze cost data, develop analytics solutions, and improve data quality to support performance tracking against cost targets.

The role involves leading data analytics initiatives to improve yield and quality, developing algorithms, enhancing data infrastructure, and collaborating with cross-functional teams to drive innovation in HBM product engineering.

The IT Engineer (Data Services) is responsible for managing and optimizing database systems, ensuring data availability, performance, and compliance, while also developing automated solutions and collaborating with site customers.

The Product Engineer will develop algorithms, enhance yield and quality using machine learning and AI, lead cross-functional initiatives, and mentor team members.

The role involves developing advanced data analytics solutions for yield and quality improvement in HBM product engineering, collaborating with cross-functional teams and driving innovation in AI and machine learning.

The IT Engineer (Data Services) is responsible for database system management, performance tuning, compliance, incident resolution, and automation of database operations.

Develop and maintain data pipelines and ETL processes, optimize data structures, and enhance data solutions using AI in a Cloud environment.

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

As a Senior Data Engineer, you will design and implement data models, manage ETL pipelines, enforce data governance, and integrate AI practices.

Responsible for developing and maintaining data pipelines, employing AWS services, while collaborating with cross-functional teams for data-driven solutions.

Maintain and improve data pipelines and invoicing-related data quality checks; build visualizations; collaborate with data engineers and stakeholders to evolve the Snowflake/dbt/Dagster tech stack supporting accurate, timely invoicing.

As a Data Engineer, you will build data pipelines using AWS, support AI/ML projects, improve existing systems, and ensure security compliance.

The role involves managing AI system reviews, conducting risk assessments, ensuring compliance, and collaborating with teams to enhance AI governance and reporting processes.

Join Activate Interactive as a Data Engineer to solve complex data challenges, optimize data pipelines, and enhance database performance for government agencies. Responsibilities include diagnosing data issues, debugging failures, and developing workflows for data accuracy.

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

Oversee strategy and architecture of data and AI platforms, resolving challenges, promoting best practices, and mentoring the team.

Design and maintain data pipelines for AI/ML models and analytics in supply chain. Collaborate with scientists, ensure data quality, and optimize ETL processes.

Develop and validate product disposition solutions using AI/ML for data analysis, enhance yields, create alert systems, and mentor team members in a cross-functional collaborative environment.

Lead the design of DevOps strategy and develop cloud infrastructure. Responsible for operational management and building consensus 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 technical decision-making and development for core infrastructure, optimize distributed systems, and mentor engineers while working with AI-driven products.

As a Data Engineer, you will develop and manage infrastructure for data science and machine learning applications, engage in digital transformation for MOE, and ensure data systems meet organizational needs.

Develop and deploy product disposition solutions, utilize data analysis for yield improvement, create deviation alert systems, and mentor team members while promoting innovation through AI and ML.

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.