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VP-level data engineering leadership role at SMBC in Singapore, owning the bank-wide Data Lakehouse strategy: designing reusable frameworks for ingestion, transformation, data quality, reconciliation and lineage, and driving adoption of Databricks, Spark, Python and SQL tooling while leading regional and offshore teams.
Junior-to-mid level Data Engineer at Singapore's ITE (via the Public Service Division) who designs, builds, and maintains cloud data pipelines, data models, and analytics-ready datasets on Microsoft Fabric and Azure, ensuring data quality, governance, and reliability for reporting, analytics, and future AI use cases. It is a 2-year contract based in Singapore.
Builds and maintains scalable data pipelines and platform services on AWS and hybrid environments for Quesscorp's Data Engineering team in Singapore, using Python, PySpark, and SQL, with emphasis on data lakehouse architecture, automation, production support, and cost-efficient operations.
Senior full-stack engineer at EY Advisory in Singapore, designing and building scalable applications for enterprise clients as part of digital transformation consulting projects. Works across the full stack alongside architects, analysts, PMs, and client stakeholders, with a focus on enterprise AI and cloud.
VP of Fullstack Engineering at OCBC in Singapore: lead a 12–20 engineer regional squad delivering a compliant Loan Origination platform (credit workflows, onboarding, lending automation) with hands-on Java, API-driven architecture, CI/CD (Jenkins/GitLab), SQL, observability, and AI (MCP) in a MAS-regulated banking environment.
IG Group's Singapore office seeks a Marketing Data Engineer to build the data infrastructure behind APAC marketing — connecting GA4, AppsFlyer, Amplitude and Braze into GCP to power attribution, measurement and data sharing across Singapore, Australia, Japan and Emerging Markets, within the APAC Data & Analytics team.
Zenith Infotech is hiring a Senior Data Engineer in Singapore to lead data warehouse, lake, and store initiatives: building scalable ETL/ELT pipelines, ingesting data from diverse sources, and ensuring data quality and security. The role involves working with analysts, scientists, and app teams and requires clearance for the project.
AI & Data Engineer on ASTM International's CET Division Market Intelligence team in Singapore, designing, building, and maintaining AI and data tools that support research and analysis and power AI features on the division's digital platform, including automation of intelligence deliverables. Involves up to 20% travel.
Data engineer at D-SIMLAB Technologies in Singapore who extracts and analyzes large semiconductor manufacturing datasets to optimize processes, builds ETL pipelines, develops data models, and creates Power BI/Tableau dashboards to communicate findings.
Data engineer in Singapore building and maintaining pipelines for digital health and clinical study data, ensuring quality, lineage and reproducibility. Works with Python, SQL, AWS/Azure/GCP, analyzes wearable sensor time-series data, applies ML/AI, and builds internal APIs alongside data scientists and clinical teams.
A fullstack engineer at OCBC bank builds and maintains scalable banking services and applications: Java microservices, RESTful APIs, front-end interfaces (React/AngularJS), and automation for Windows/macOS/Linux servers, using cloud-native platforms like Kubernetes and Docker in a DevOps-driven team.
Associate Application Consultant at IBM Consulting in Singapore, implementing AWS cloud architecture for omnichannel systems of engagement. Day to day involves mapping client components to AWS services and building cloud-native, API/microservices-based applications using Node.js or Spring Boot, containers, and serverless computing.
Data engineer at a public-sector technology service provider in Singapore, working in an agile data analytics unit: querying and cleaning enterprise datasets on cloud big-data platforms, building operational BI dashboards, writing technical documentation, and supporting QA/testing workflows. Requires 5+ years of big-data platform experience; pays up to S$11,000 monthly.
Full-stack engineer in Singapore building a data-intensive platform that runs complex workflows powered by AI models. Day-to-day spans ReactJS/TypeScript front end, Python back end (Django/FastAPI), GitLab CI/CD, Docker/Kubernetes deployments and automated testing. Requires 4+ years of full-stack experience.
Senior Data Engineer building an enterprise investment data platform for a leading global investment firm in Singapore. Day-to-day work centers on scalable data pipelines and lakehouse architecture using Databricks, AWS, Python/PySpark, SQL, DBT, and Airflow, delivered via Agile/DevSecOps with Docker, Kubernetes, and Terraform.
Senior leadership role overseeing Windows Server, Active Directory, and private cloud platforms (VMware, Citrix, Nutanix) for a highly regulated financial organisation. The VP sets infrastructure strategy, drives upgrades and migrations, promotes automation with PowerShell/Ansible, ensures security and compliance, and manages a team plus outsourced service providers.
Senior engineer on Airwallex's Billing team, leading the design and implementation of a next-generation pricing, billing and invoicing platform built on Core Java microservices. Based in Singapore or Shanghai, collaborating with cross-functional teams across payments domains.
Senior data engineer who designs and builds data warehouses/lakes and scalable ETL/ELT pipelines, ingesting structured and unstructured data while ensuring quality, governance, and performance. Works with SQL, Python/Java/Scala, big data tools like Hadoop/Spark, and cloud platforms (AWS/Azure/GCP); the project requires security clearance.
Joins ASTM International's AM Center of Excellence Market Intelligence team in Singapore to design, build, and maintain AI and data tools — automating intelligence deliverables and powering AI features on the team's digital platform. Core stack: Python, LLMs/RAG, data pipelines, and cloud services. Up to 20% travel.
Thales Group in Singapore is hiring a software engineer to deliver new features across the stack — clarifying requirements with the Product Owner and implementing tests to ensure integration and performance. Requires hands-on experience in Java, Kotlin, C++, Rust or Go, plus CI/CD, Linux, and containerized environments.
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