Top Data Engineer Jobs in Singapore

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 Product Engineer in Advanced Data Analytics, you will utilize machine learning and AI for data analysis to enhance yield and quality. Responsibilities include developing algorithms, collaborating with cross-functional teams, promoting innovation, and driving initiatives to improve performance metrics.

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.

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

Lead management and technical planning of OKX's Web3 Data Platform, overseeing data processing, governance, and solutions for business growth.

Analyze data to identify cost drivers and trends. Develop analytics solutions and dashboards for stakeholders, ensuring data quality and driving cost performance with insights.

As a Senior Product Engineer, you will lead a team in advanced data analytics to improve yield and quality through machine learning and AI, develop algorithms, and enhance data infrastructure while collaborating with cross-functional teams.

Lead a team to enhance product yield and quality through advanced data analytics, machine learning, and AI. Develop algorithms and collaborate cross-functionally to drive improvements and innovation in HBM product engineering.

Develop and deploy product disposition solutions, advance data analysis using AI/ML, mentor team members, and collaborate cross-functionally to enhance product quality and yield.

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 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.

Responsible for designing and maintaining data pipelines for Air Network Planning analytics. Collaborates with analysts and scientists to ensure data quality and reliability.

As a Data Engineer, you will build ingestion pipelines, develop applications, support cloud services, and ensure quality engineering in Agile environments.

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.

The role involves developing AI solutions, including report automation and Generative AI applications, collaborating with teams to analyze data, and creating visualizations for stakeholders.

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.

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.

As a Data Science and Engineer Intern, you will gather user requirements, assist in ETL pipeline development, create statistical models, and develop BI dashboards while supporting AI initiatives.

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

Design and develop full stack web applications for data-driven and AI initiatives, working with data scientists and business stakeholders.

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.

Responsible for designing, developing, and implementing Big Data products and backend systems, with a focus on on-chain data within Web3 applications.