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Low-Latency Market Data Engineer - Real-Time Pricing

Founding engineer on Hytech's trading infrastructure team, owning the full market data layer end to end — from feed ingestion to the composite real-time prices that power its market-making quoting engine. Requires 5-8 years in live-trading market data engineering with strong Linux, C++/Python, and LSEG/Refinitiv experience.

C++ Data Engineering Linux Python

Senior AI Data Engineer: AI Harness Architect & Pipelines

NCS Group is hiring a senior engineer in Singapore to design and build an AI harness, agent framework, and reusable components for a modern data platform based on Apache Iceberg, Trino, and Parquet. Day to day: enabling multi-agent collaboration, stateful workflows, metadata generation, and end-to-end data pipelines.

AI Data Engineering Parquet Trino

TENTEN Partners

Senior Director Data Engineering and Governance

Executive search (via TENTEN Partners) for a senior leader to own a major technology organisation's enterprise AI data foundation: architecting AI-ready data products, knowledge graphs, semantic models, and RAG/context-retrieval infrastructure, while building teams and governance standards (quality, lineage, privacy, security) that keep production AI and agents reliable at scale.

Agentic AI AI Analytics Automation Data Engineering +5 skills

Databricks Data Engineer — ETL, Delta Lake & Governance

Data engineer at Rozgoo in Singapore who designs and maintains ETL pipelines on a centralized data platform using Databricks and Delta Lake. Day to day involves integrating diverse data sources, building transformation routines for complex datasets, and contributing to deployment frameworks, data governance, quality, and compliance.

Data Governance Data Quality ETL

NEWBRIDGE ALLIANCE PTE. LTD.

Senior Data Engineer: AI-Ready Data Pipelines & Governance

Senior data engineer who owns end-to-end ingestion and transformation pipelines that turn fragmented client data into governed, audit-ready, AI-ready data assets, working closely with AI engineers and data scientists across cloud environments.

AI Cloud Data Engineering Data Quality

Hybrid Platform Data Engineer for Genomics AI

PathGen is hiring a Data Engineer in Singapore to build robust data pipelines for genomics and health applications, working with diverse data (natural language, geospatial, biological). The role centers on Python, containers, cloud workflows, and scalable ML infrastructure.

Cloud Data Pipelines Machine Learning Python

Low Latency Market Data Engineer

Owns the full market data layer for a new market making operation: building production feed handlers for institutional feeds and crypto exchange APIs, developing a real-time composite pricing model, and squeezing out latency via Linux kernel, CPU, and NIC tuning. Core tech: C++ and/or Python, low-latency Linux systems engineering.

API C++ Data Engineering Data Quality Fintech +3 skills

Senior Data Engineer – Environmental Data Platform

Senior Data Engineer at Singapore's GovTech building the data foundations for an environmental intelligence platform supporting NEA's environmental protection and pollution incident response, enabling faster cross-team coordination and better decisions.

Senior AI Data Engineer

Designs and builds the AI harness and multi-agent framework powering a modern lakehouse data platform (Apache Iceberg, Trino, Parquet) at NCS, an AI/tech services firm in Singapore. Day to day: creating specialized agents for data ingestion, transformation, governance, and optimization, plus pipeline engineering in Python with LangChain/LangGraph.

Agentic AI AI API Data Engineering Data Governance +24 skills

Data Engineer - Basil Technologies Pte Ltd

Data engineer who builds and maintains ETL pipelines into centralized storage (Delta Lake) on Databricks, integrating data from databases, APIs, log files, streaming platforms, and external providers, plus writing transformation routines and implementing data governance. Databricks certification is mandatory.

API Data Governance Databricks Delta Lake ETL

Kerry Consulting

Senior Data Engineer

Senior Data Engineer in Singapore to design and build scalable cloud data platforms and pipelines supporting analytics, digital products, and AI/ML workloads, while providing technical leadership and mentoring. Core stack: Python, SQL, and Spark/PySpark on AWS, Azure, or GCP, with orchestration, data quality, and CI/CD practices.

Agentic AI AI Analytics Automation AWS +19 skills

Platform Data Engineer

PathGen is hiring a Data Engineer in Singapore to build and monitor scalable data ingestion and ETL pipelines for genomic, biological, geospatial, and other scientific datasets supporting AI-driven public health work. Day to day involves Python, Airflow, Kafka, Docker/Kubernetes on AWS, plus deploying ML models via FastAPI and CI/CD tooling.

AI Airflow AWS Bioinformatics CI/CD +17 skills

TIKTOK PTE. LTD.

Senior Big Data Engineer - Large-Scale Analytics & ML

Senior Big Data Engineer on TikTok's Recommendation Architecture Team in Singapore, designing offline data architectures for large-scale recommender systems. Day to day involves building scalable storage/compute solutions for millions of daily users, using C/C++, Java, or Golang in a distributed-systems environment.

Big Data C++ Distributed Systems Go Java

Data Engineer

Sofina, an investment holding company, is hiring a Data Engineer in Singapore to own and evolve its data platform and build AI/LLM-powered internal tools for investment research. The role is hands-on across data engineering and back-end work — building pipelines with Python, SQL, dbt, Dagster and Snowflake/Fabric, exposing enterprise knowledge to LLMs, and mentoring junior engineers.

AI Dagster Data Engineering Data Modeling Data Pipelines +7 skills

Software Engineer

12-month contract software engineer in Singapore with a technology company behind a widely used peer-to-peer payment product serving mobile operators worldwide. Day to day: troubleshooting bugs, building full-stack features across front-end, APIs, and backend, and creating support tools, automations, data pipelines, and dashboards.

API Data Pipelines GitHub

KYNDRYL (SINGAPORE) PTE. LTD.

Gen AI Full-Stack Engineer — Multi-Cloud & Agentic AI

Full-stack engineer on Kyndryl's Singapore Gen AI team, building the front-end and back-end of generative AI applications such as RAG chatbots, agentic AI systems, and film classification platforms. Work spans AWS, GCP, and Azure with LLM integration (Bedrock, Azure OpenAI, Gemini) using TypeScript and Next.js.

Agentic AI AI AWS Azure Cloud +8 skills

Rhino Partners Pte Ltd

Full Stack Engineer (React, TypeScript, Python) 2-4 Years Experience (1 Year Contract)

Full Stack Engineer joining Rhino Partners to build and productionise digital solutions for government agencies in Singapore — turning early-stage prototypes into scalable, production-ready applications. Core stack: React, TypeScript, Python, with DevOps work covering Docker, CI/CD, monitoring and testing.

Agentic AI Agile AI API Automation +14 skills

Senior Full-Stack Engineer: Cloud, AI & Low-Code

Senior full-stack developer at Singapore's Land Transport Authority building secure, scalable cloud-based digital solutions for collaboration between LTA, contractors, and government agencies. Day-to-day spans low-code/no-code platform development, AI feature integration, API design, and DevSecOps/CI/CD within an agile team.

Agile AI API CI/CD Cloud +1 skills

JOBSTER PRIVATE LTD.

Full-Stack Engineer: Compliance & AI-Driven Security

Builds secure full-stack applications and automation that turn cybersecurity and governance requirements into automated risk-control checks, with dashboards tracking compliance status and remediation. Owns UI, backend, and cloud development end-to-end, applying AI-assisted capabilities and strong security practices.

AI Automation Cloud Cybersecurity

AI-Native Full-Stack Engineer — End-to-End Features, Equity

Manus AI is hiring a full-stack engineer in Singapore to own features end to end across web frontend, mobile, and backend services, collaborating with product and design in an AI-driven environment that leverages LLMs for development, testing, and deployment.