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A hands-on data engineer who builds ELT ingestion pipelines, dimensional models, and production-ready data solutions to modernize an enterprise data warehouse into a cloud-native analytics platform on AWS and Snowflake, collaborating with engineers, QA, and BI users from design through handover.
Application Developer on DBS Bank's data platform team, designing and building enterprise data solutions end to end — from planning and implementation through testing and production support. Day to day centers on cloud-native development, data pipelines, dashboards, and API integration within an Agile environment.
A hands-on Snowflake Data Engineer building and maintaining ingestion and ELT pipelines, dimensional data models, and RAW/ODS/DW warehouse layers as part of an enterprise data warehouse modernization to AWS and Snowflake. Core work involves SQL optimization, data quality/reconciliation controls, and production support using Snowpipe, Tasks, Streams, and Stored Procedures.
Data engineer designing, building, and operating production-grade ETL/ELT pipelines that integrate data from on-prem systems, APIs, databases, files, and streams into cloud-native data lakes and analytical datasets on AWS/Azure. Requires 3-5 years of data/software engineering experience; based in Singapore.
Senior individual contributor designing, building, and evolving Shell Energy LNG's data platform in Singapore — cloud data pipelines, lakehouse solutions, integrations, and AI-ready data foundations. Core stack: Azure (ADF, ADLS), Databricks, PySpark, Python, and Kafka.
Design and build an end-to-end AWS data lake and lakehouse in Singapore: define data architecture standards, create ingestion pipelines, and ensure security, governance, and cost-efficient operations. Core stack is AWS with strong SQL and Python or Scala.
Senior Data Engineer at Singtel builds and improves big data pipelines and streaming/batch data applications on a Hadoop-based platform, working with Python, PySpark, Spark, SQL, Airflow and web/API frameworks like React, Django and Spring Boot, while mentoring junior engineers and leading DevOps/DataOps operations.
Data engineer at ETHOZ Capital in Singapore who designs, builds, and maintains scalable cloud ETL/ELT pipelines plus data lake, warehouse, and streaming architectures, ensuring data quality, governance, and cost efficiency while supporting analytics and PDPA compliance.
Senior Data Engineer at Singtel building and enhancing data pipelines on Big Data platforms for streaming and batch workloads. The role involves leading DevOps/DataOps efforts, mentoring junior engineers, and applying data security and governance practices within a multinational telco driving AI, 5G, and cloud services.
Supports and optimizes real-time financial market data systems for TP ICAP's Parameta Solutions, integrating and distributing feeds from exchanges and vendors like Refinitiv and Bloomberg. Day-to-day work spans scripting (Python/Linux), networking (multicast, TCP/IP), and cloud platforms to keep low-latency data pipelines accurate and reliable.
A data engineer at Singapore's National Library Board (via GovTech) who designs data architectures and works hands-on with a vendor to build, migrate, and maintain databases and data lakes on AWS, covering integration, transformation, quality/governance, and pipeline monitoring. Core stack: SQL, Python, AWS (S3, Glue, Athena, Iceberg, Lambda), and Airflow.
Flintex Consulting is hiring a full-stack .NET developer in Singapore to design, build, test, deploy, and maintain applications across .NET Framework / .NET 8 / .NET 9. Day-to-day work centers on API integration, secure coding, OO design, and documentation with a strong security mindset.
Surbana Jurong Group is hiring an AI full-stack engineer in Singapore to design, build, and deliver production AI-powered applications across its core business lines — owning the full SDLC, integrating LLM APIs and vector databases, and leading CI/CD, containerisation, and cloud deployment in collaboration with business teams and AI PMs.
Builds and ships end-to-end AI-powered applications (LLM orchestration, RAG retrieval pipelines, backend APIs, and React frontends) for Surbana Jurong's business lines, owning the full SDLC from architecture through CI/CD and cloud deployment. Core stack: Python, LLM APIs, vector databases, and cloud/container tooling, with a forward-deployed working model alongside business teams.
GlobalFoundries is hiring a Senior Full Stack Engineer in Singapore to design, prototype, and operationalize AI-powered enterprise solutions, delivering agent-driven workflows across HR, Supply Chain, and IT Operations. Day to day involves building full-stack apps and APIs, secure integrations, mentoring, and scalable AWS/BYOC deployments.
Full-stack engineer at NCS designing, building, and deploying end-to-end features for AI applications across frontend and backend, with a focus on cloud-based solutions (AWS, GCP, or Azure) and contributing to the technical roadmap.
A fullstack developer role at NCS in Singapore focused on building AI applications: developing end-to-end features across frontend and backend, maintaining CI/CD pipelines, integrating third-party APIs, and contributing to architecture decisions on cloud platforms like AWS, GCP, or Azure.
NCS Pte Ltd is hiring a full-stack developer in Singapore to build AI applications end to end — coding frontend and backend features, maintaining CI/CD pipelines, deploying features, and integrating third-party APIs — with hands-on cloud, database, caching, and performance-optimization experience.
Design, prototype, and operationalize AI-powered enterprise solutions and agent-driven workflows for HR, supply chain, and IT operations. Day to day you build full-stack apps, APIs, and secure integrations, deploying scalable systems in AWS/BYOC environments while mentoring teammates.
Java full-stack engineer at a Singapore company building scalable software systems with modern Java technologies and AI components. Day to day: designing, developing, and maintaining features, writing clean tested code, joining code reviews, and collaborating with product and design teams.
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