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Senior Data Engineer - MPID Team
Builds and optimizes Shopee’s Marketplace data warehouse, designs pipelines for real-time and batch data, and mentors junior engineers.
Senior Data Engineer (Governance )
Senior Data Engineer builds and maintains HyTech’s data governance framework, ensuring data quality, compliance, and discoverability across fintech platforms using tools like Databricks Unity Catalog and Alibaba Cloud DataWorks.
Quantexa Data Engineer sn
Build and optimize big-data pipelines using Spark, Scala, and Elasticsearch for a compliance-focused fintech platform, deploying on OpenShift with DevOps practices.
Uni Internship Jan to July 2027 - Data Engineer, HSG Analytics
Build and maintain data pipelines for Singapore’s health-tech agency, using Python/Java and ETL tools to support AI-driven healthcare analytics and PoCs.
Data Engineer (Geospatial) (1 Year Contract)
Build and maintain scalable data pipelines and cloud architectures to power geospatial analytics and spatial modelling for public-sector planning and decision-making.
Data Analytics Engineer
Builds scalable data pipelines, RESTful APIs, and cloud-based data solutions using Python/Scala, SQL, Spark, and Kafka for analytics-driven applications.
Data Engineer (Geospatial)
Designs and builds scalable data pipelines and architectures, focusing on geospatial data, using Python, SQL, and cloud platforms like AWS and Databricks.
Data Platform Engineer
Job Description: Design, build, deploy, and maintain end-to-end data projects across big data and cloud platforms. Develop scalable and reliable ETL processes for ingesting and integrating large volumes of structured…
Data Engineer / Data Specialist
Designs and builds a centralized data hub, modeling schemas and integrating sources to support enterprise analytics and reporting.
Data Engineer
Build and maintain data pipelines, ETL/ELT systems, and warehouses in AWS to feed analytics and ML models, using Python, SQL, Spark and Kubernetes.
Data engineer (Quantexa)
Build and optimize big-data pipelines using Spark, Scala, Elasticsearch, and Quantexa for compliance/AML analytics in a containerized OCP environment.
Senior Full-Stack Engineer, Data Analytics & AI-Driven Apps
Senior engineer building full-stack data analytics platforms that turn raw data into actionable insights for business units, mentoring junior devs and collaborating with data scientists.
Senior Full-Stack Engineer, Data Analytics Platform
Leads full-stack development of data analytics platforms using Spring, Angular/React, and cloud/AI tools to deliver scalable solutions and actionable business insights.
Full-Stack Engineer – Cloud-Native Apps & AI Insights
Builds cloud-native web apps and backend services for a bus-operations analytics platform using AWS, Docker, Kubernetes, and microservices.
Python Full Stack Engineer
Full Stack Engineer (AI & Data Platforms) Role Overview We are looking for a Python Full Stack Engineer to design, develop, and enhance AI-enabled web applications that support data-intensive business solutions.…
DevOps Engineer / Senior Associate, Data & AI, Technology Consulting
Design and maintain CI/CD pipelines for Singapore government cloud projects using SHIP-HATS, Kubernetes, and Terraform to deploy secure, cloud-native applications.
Principal Software Engineer
Principal Software Engineer at Microsoft leading architecture and secure coding for Azure’s data platform (Fabric, SQL DB, Cosmos DB, Synapse) and mentoring teams to build scalable, cloud-native analytics solutions.
Data Engineer (Implementation & Integration)
Build and maintain Python/SQL-based ETL pipelines to integrate hospital data into Meduit’s revenue-cycle systems, ensuring data quality and scalable data architecture.
Operations Manager Property Adjusting
Operations Manager - FAST & Desk Adjusting Lead People. Drive Performance. Shape Customer Outcomes. Are you an inspiring operational leader who thrives on developing high-performing teams, improving customer…
Data Engineer: Fraud Detection & Risk Analytics
Design and maintain ETL pipelines to feed fraud-detection and risk-analytics systems, then translate findings into actionable controls for cybersecurity, data protection, and system availability.