Top Data Engineer Jobs in Singapore

The Data Engineer will optimize data pipelines, diagnose data issues, enhance database performance, and ensure secure data access, collaborating with teams to implement data strategies.

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

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 Cloudera Data Engineer is responsible for building and managing data pipelines and platforms, focusing on the Cloudera Hadoop ecosystem while collaborating with data teams.

The Data Engineer will optimize data infrastructure, develop scalable ETL processes, establish data governance, and collaborate with data teams to ensure data accuracy and performance.

The Data Engineer designs and maintains data architectures and pipelines, processes datasets, optimizes ETL processes, and collaborates with teams to support data-driven decisions.

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.

The Data Engineer will lead the migration of data infrastructure to AWS, design ETL processes, and migrate dashboards while ensuring documentation and user training.

Design and maintain Data Marts using dimensional modeling, build data pipelines, ensure data integrity and support business analytics needs.

The role involves managing end-to-end business requirements, optimizing data pipelines, and leveraging big data technologies for product and service improvement.

As a Senior Data Engineer, you will enhance data reliability by designing scalable pipelines, collaborating with data teams, ensuring data security and governance, while adhering to best practices and regulatory standards.

The Data Engineering AVP will lead technical delivery for large data projects, focusing on developing cloud solutions and managing multiple vendor teams in a financial transformation context.

As an Expert Software Engineer, you will lead engineering teams, drive technical initiatives, and oversee the development of a scalable Data Orchestration SaaS product for financial risk management.

The Data Site Reliability Engineer will build and maintain data ingestion pipelines, enhance workflow tools for traders, and ensure data accessibility and lineage while collaborating closely with trading and research teams.

The Senior Data Engineer will design and build large-scale data pipelines, leveraging cloud platforms and technologies like Databricks and AWS, ensuring effective data solutions for clients.

The role involves developing analytics solutions using AI, collaborating with analysts, integrating data for analysis, and enhancing Generative AI applications. Candidates will create dashboards and manage projects based on business objectives.

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

As a Senior Data Support Engineer, you will manage data pipelines' reliability, collaborate with teams on solutions, mentor juniors, and ensure system performance and health.

As a Senior Data ETL Engineer, you'll develop data pipelines, support AI/ML initiatives, ensure data quality, and optimize performance.

The Data Centre Engineer will manage data and colocation centres, coordinate logistics, and ensure operational standards for security and upkeep.

Lead initiatives to enhance yield and quality in HBM product engineering through advanced data analysis and machine learning, collaborating across teams and mentoring members.

Lead initiatives to enhance yield and quality through advanced data analysis, machine learning, and AI. Develop algorithms and collaborate across teams to optimize performance metrics.

This role focuses on data collection for model training operations, requiring the integration of infrastructure to support the ingestion pipeline and collaboration with AI scientists.

The Senior DevOps Engineer will build and maintain backend infrastructure for AI data pipelines, support model training and production, and develop monitoring systems.

As a Software Engineer for Data Orchestration, you'll develop systems for high volume data processing, focusing on real-time fraud monitoring tools with a DevOps approach and collaborative workflows.