Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Design and build scalable data pipelines and platforms using Databricks, Python, and Spark on public clouds. Deliver data analytics solutions and AI integrations within a consulting environment, translating business requirements into technical designs.
The client is a Singapore-based data consultancy seeking a hands-on Senior Data Engineer to support the delivery of complex data-platform projects. This is an initial six-month contract. An extension may be considered…
Build and maintain petabyte-scale data infrastructure for a genomics AI factory, managing AWS IaC, data ingestion pipelines, and hybrid cloud synchronization to support cancer research.
Design and maintain scalable data pipelines, ETL processes, and warehouses for real-time and batch processing using big data technologies, Python, and SQL.
Design scalable data architectures and build high-performance data pipelines. Lead cloud-native Data & AI solutions, migrate to multi-cloud environments, and mentor junior engineers while ensuring data governance and security.
Design, develop, and optimize large-scale data pipelines using Hadoop and Spark within a data lake architecture. Collaborate with data scientists to ingest, transform, and load banking data using SQL/NoSQL stores.
Develops and maintains data platforms, pipelines, and governance frameworks for a bank. Uses Python, SQL, cloud infrastructure (AWS/GCP), and BI tools for asset management data solutions.
Design and maintain end-to-end data projects, ETL processes, and enterprise systems like data lakes and AI platforms using big data and cloud technologies.
Build and optimize offline and real-time data pipelines using Hadoop, Hive, Flink, and Kafka for a leading crypto exchange to support product data development and business intelligence.
Design, build, and modernize cloud-native data pipelines, streaming systems, and data lakehouse solutions using Spark, Iceberg, and Python for a leading bank.
Build and optimize real-time and offline data pipelines using Flink, Hadoop, and Kafka for a crypto exchange. Focus on data warehouse modeling and big data architecture design to support business intelligence.
Designs, builds, and operates cloud-native data platforms and pipelines using AWS, Spark, and Python to support analytics and decision-making at OCBC.
Data Engineer contract role focused on developing backend software for data pipelines and algorithmic services in a clinical product, with emphasis on unit testing, data archiving, and analytics delivery. Core technologies include Python, Django, FastAPI, PostgreSQL, AWS, and Docker.
Responsible for building and optimizing data pipelines, ensuring data accuracy and timeliness using big data technologies.
Manage and optimize data pipelines using cloud computing, big data technologies, and Flink. Requires strong communication, a CS degree, 3+ years experience, and fluency in English and Chinese.
Lead Data Science & Analytics initiatives to design user-facing features for Generative AI applications. Contribute to frontend and backend systems using full-stack technologies like Node.js and ReactJS.
Maintain and evolve an AI-powered Chatbook application on AWS, implementing solutions using LLMs, RAG, and agentic frameworks. Requires strong experience with LangChain, AWS, Next.js/React, and CI/CD.
Build robust web applications using React, TypeScript, and Node.js with Express or Koa, focusing on front-end interfaces, backend APIs, and database optimization.
Develop end-to-end video analytics platforms using React, Java, and Python, integrating AI and computer vision capabilities. You will build responsive UIs, backend APIs, and manage video streaming and ML system integrations.
Full Stack Developer role focusing on API, Security & Integrations. Involves Node.js, Java, Spring Boot, Python, and C. Requires 3 years of experience.
We couldn't check your fit for this role — add a CV to your profile to see it next time.