Top Data Engineer Jobs in Singapore

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.

Lead technical decision-making and development for core infrastructure, optimize distributed systems, and mentor engineers while working with AI-driven products.

Develop and deploy product-disposition workflows and deviation alert systems using statistical tools and ML/AI to improve yield, reliability, and quality. Build algorithms for data mining, pattern recognition, and wafer/die screening. Collaborate with Fab, design, and quality teams, mentor team members, and drive technical innovation to meet KPIs like quality, cost, cycle time, and scale.

The Data Engineer designs and maintains data pipelines and systems, transforming raw data into insights by collaborating with project teams and utilizing various data processing tools.

Design, build, and productionize GenAI and ML solutions for semiconductor engineering: large-scale data pipelines, LLM/RAG and agentic workflows, model training/inference, analytics, deployment, monitoring, and cross-functional collaboration to improve quality, cost, and engineering productivity.

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.

As a Data Engineer, you will develop data pipelines, transform analytics for business growth, automate reporting, and collaborate with stakeholders to deliver data-driven insights.

Collaborate with multiple teams to develop data requirements, manage data governance, and enhance efficiency through data development tools.

The Associate Data Engineer will contribute to Machine Learning and NLP projects, collaborate with cross-functional teams, and enhance threat detection through data-driven intel.

The role focuses on developing product disposition solutions, enhancing yield and reliability through data analysis, and mentoring team members while collaborating across teams.

The role involves ensuring end-to-end performance and power readiness of Data Center SSD programs through technical execution, analysis, and leadership across teams.

As a Data Engineer, you will design and maintain data infrastructures, build ETL pipelines, collaborate with teams, and ensure data quality.

Design and implement scalable data models, manage ETL pipelines, contribute to data governance, and understand AI integration for data engineering.

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

Develop and deploy product-disposition solutions using data analysis, machine learning, and AI to improve yields and reliability. Mentor team members and collaborate across functions to drive innovation and enhance product quality.

Design, build, and operationalise large-scale cloud data pipelines (batch and streaming) using Databricks/Snowflake and cloud platforms to support reporting, automated systems and AI/ML teams. Administer cloud data platforms, optimise SQL/storage, implement CI/CD, IaC, containerisation and serverless solutions, and collaborate with clients, partners and internal teams to scale data engineering deployments.

The Platforms and Data Engineer will develop and manage high-performance analytics solutions, design data transformation processes, maintain data systems, and support AI projects.

This role focuses on improving productivity in labor operations through program management, data analysis, and implementing AI and automation solutions.

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 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.

The Data Engineer will manage the end-to-end data lifecycle, collaborating with quantitative researchers to support investment strategies and ensure data quality and readiness.

The role involves developing AI-driven solutions for semiconductor engineering, focusing on GenAI systems, data pipelines, and machine learning models while collaborating with cross-functional teams.

Responsible for building and maintaining data pipelines, optimizing data structures, and developing ETL processes with AI support for data analytics applications.

This role involves building and maintaining data pipelines, developing ETL processes, optimizing data structures, and utilizing AI for enhanced data analytics.