Top Data Engineer Jobs in Singapore

The Senior Software Engineer for the Data Platform will design and build scalable data infrastructure, focusing on data processing, discovery, and lineage systems, ensuring robust code and system design.

As a Senior Data Engineer, you'll design and maintain data pipelines, translating complex requirements into scalable solutions using Python, collaborating with teams to deliver actionable insights in an Agile environment.

The Component Engineer will manage component data integrity, develop data pipelines, analyze material data, and create dashboards for supply chain insights.

Responsible for leading the design and maintenance of enterprise data warehouse, collaborating with stakeholders, ensuring data quality, and optimizing data integration processes.

The Computer Vision Engineer will develop and optimize real-time video camera software, focusing on algorithms for image processing and model training, while driving innovation within the team.

The Principal Data Scientist will lead technical initiatives, develop deep learning models, manage data pipelines, and mentor junior team members while collaborating with customers and engineers to create impactful AI-driven solutions.

The role focuses on building data foundations for LLMs, overseeing data pipelines, sourcing, cleaning, validating, and optimizing data for AI models.

As a Full-Stack Engineer, you will develop infrastructure for data science applications, integrating full-stack development, cloud infrastructure, and supporting data systems.

The Data Analytics Developer role requires experience in finance, specifically in banking and financial services, strong data analysis skills, and knowledge of PL/SQL.

The Sr Big Data Engineer will develop data pipelines using big data technologies, manage projects, and implement data modeling for analysis while ensuring efficient querying and performance.

This role involves designing, building, and maintaining data pipelines for compliance analytics, assessing existing data infrastructure, and collaborating with data scientists and engineers to ensure reliable data for compliance purposes.

Own and maintain the analytics stack: implement tracking from user interaction to Mixpanel/GA4/AppsFlyer via Segment, manage infrastructure with Terraform, audit pipelines and schemas, translate business needs into tracking, and configure troubleshooting for mobile/web attribution, deep-linking, and postbacks.

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.

Plan and execute rolling upgrades across tens of thousands of ClickHouse clusters, own the full release pipeline, investigate and resolve production issues (on-call), and build automation and tooling to make large-scale database operations safe and repeatable.

Lead Data Engineers design and implement data solutions, manage projects, collaborate with stakeholders, and ensure data governance and security.

The role involves overseeing data center infrastructure, managing teams, optimizing processes, and ensuring operational efficiency in cloud operations.

As an Analytics Engineer Intern, you'll develop data models, monitor data reliability, and collaborate with teams to translate data into insights, using tools like DBT and SQL.

The role involves developing and optimizing both offline and real-time data pipelines, ensuring data quality and collaborating across multiple teams to meet business requirements.

The role involves constructing data reports for overseas developers, maintaining advertising data systems, and analyzing data for business optimization.

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.

Design, develop, and maintain data infrastructure microservices using C++, optimize for performance, debug issues, and collaborate with teams.

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

Develop and maintain internal Data Platform components, ensuring system scalability, high availability, and integration with data warehouses and orchestration systems. Write maintainable code and support deployment and monitoring processes.

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

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