Top Data Engineer Jobs in Singapore

The Data Analytics Engineer develops and maintains analytics models and dashboards, ensuring high data quality and enabling decision-making through actionable insights.

Oversee Tencent's big data platforms for stability, assist users with issues, optimize workflows, develop tools, and reduce costs.

Develop and implement computer vision algorithms, evaluate model performance, and integrate solutions into larger systems, while maintaining documentation and staying updated on technology advances.

The Senior Data Engineer will lead AI Data Engineering initiatives, architect and manage data infrastructure, and optimize data pipelines for AI and ML applications using various tools and technologies.

Collaborate with stakeholders to design and implement data pipelines, manage multi-technology environments, and optimize performance in an Agile setting.

The Senior/Lead Data Engineer designs and optimizes data solutions on Alibaba Cloud, develops data pipelines, manages data warehouses, and ensures data quality and compliance.

Develop full-stack applications and data tools, manage ETL pipelines, and collaborate with product and marketing teams to integrate data for business insights.

You will develop the Feedzai Orchestration, focusing on backend engineering using Scala, and engage in full-stack responsibilities, ensuring high-performance systems and effective collaboration with product and design teams.

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 Centre Engineer will support the HPC infrastructure, perform maintenance and troubleshooting, and communicate with various teams to ensure operational stability.

The Operations Excellence Engineer will enhance service delivery and operational standards in the Singapore data centre by designing processes and facilitating performance improvements.

Develop and implement Data Warehouse solutions for Risk Control, focusing on architecture, real-time applications, and report data management.

The Big Data Test Engineer ensures the quality of data platforms through rigorous testing and validation, collaborating closely with data engineers.

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.

Lead a high-performing team to enhance yield and quality through advanced data analysis, machine learning, and AI, collaborating with cross-functional teams to achieve strategic objectives.

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

The Application Support Engineer will assist clients with resolving issues, managing production environments, and ensuring customer satisfaction with Redline products, including automation and proactive monitoring.

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

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

The IT Engineer will manage and support database systems, ensure high availability, troubleshoot issues, and implement database solutions while collaborating with site customers and improving database performance and operations.

Install and upgrade database systems, manage access and backups, diagnose errors, ensure compliance, and support database operations. Develop solutions and automate processes to enhance performance and reliability.

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.

Deliver complete software solutions across all SDLC phases, guide junior engineers, and make technical decisions with minimal supervision.

Lead projects and coordinate engineers, set technical tasks, improve processes, and represent the company externally, leveraging extensive experience in Java and Big Data.