Top Data Engineer Jobs in Singapore

Lead architecture and delivery of post-trade data systems, designing near-real-time and historical data pipelines. Drive technical roadmap, mentor engineers, implement robust testing and monitoring, resolve incidents, and integrate analytics technologies to support trading product features and operational stability.

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.

The Senior Data Engineer develops and maintains data architecture, builds data processing pipelines, collaborates with data scientists, and ensures data governance, quality, and privacy.

Triage and resolve Master Data Management (Party, Risk, Reference) issues in Stibo STEP, run targeted data-cleansing sprints, monitor data quality dashboards, support releases/UAT, and maintain documentation and playbooks to prevent recurring data issues.

Own end-to-end compliance data pipelines from ODS ingestion through CDM to downstream marts for TMS, KYC, CMS, and regulatory reporting. Build production-grade, auditable pipelines with proactive data quality, monitoring, and reconciliation. Use AI/LLM tooling to accelerate domain ramp-up and pipeline development. Collaborate with Compliance Project Lead, take sub-domain ownership, and mentor junior engineers.

Define and own Finance data architecture and pipelines from ingestion to reporting with full lineage and immutability. Ensure audit-ready financial reporting, partner with Accounting/Treasury for month-end and statutory reporting, build embedded data quality controls, lead incident response, drive AI/LLM adoption in data workflows, mentor engineers, and represent the domain across the organization.

The Data Visualization Developer will create and support dashboards in Power BI, develop SQL scripts, perform regression testing, and troubleshoot existing scripts.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

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

The role involves developing and optimizing AI computing infrastructure, focusing on distributed training, compute scheduling, and end-to-end model engineering for gaming applications.

The Product Engineer will design and implement data-driven and edge-intelligent solutions focusing on real-time insights, Edge AI systems, and scalable data pipelines to improve service productivity.

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.

Responsible for developing high-performance blockchain data infrastructure, enhancing systems for accessing data, and ensuring product quality and reliability. Collaborates across teams to align on specifications and performance metrics.

Design and maintain scalable data platforms on AWS and Databricks, focusing on efficient data processing, analytics, and orchestration of pipelines.