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Recruiter Michael Page is seeking a Data Governance Specialist in Hong Kong, on behalf of a bank, to implement and continuously improve the bank's data governance framework with a regulatory and data quality focus. Requires 4-5 years of data governance experience in banking or insurance.
Senior data engineer building scalable real-time and batch ETL workflows with Java and Python for a capital markets/fintech organization in Hong Kong. The work centers on data cleansing, governance, modelling, and secure cloud deployment across heterogeneous databases, including NoSQL.
Lead data engineering for healthcare data platforms in Hong Kong: define project scope with business and IT stakeholders, ensure timely delivery, and set regional data architecture standards. Core stack is Azure — ADLS, ADF, Synapse, and Databricks.
Lead data engineering for a leading insurance firm's health business in Hong Kong: design and build scalable data platforms (batch/real-time pipelines, lakehouses, warehouses) on Azure and Databricks, set architecture standards, and drive delivery across regional teams.
Senior data engineer role (7+ years) at a capital-markets/fintech organization in Hong Kong: designing real-time and batch ETL workflows, building production apps in Java and Python, modeling data across Oracle/PostgreSQL/NoSQL platforms, delivering cloud data solutions, and enforcing data governance and quality. English plus Cantonese or Mandarin required.
A Data Engineering Lead role in Hong Kong: guide a data engineering team building scalable data platforms on Spark (AWS EMR) and real-time streaming APIs. You'll drive technical direction, promote MLOps with data science teams, oversee governance, security and cost efficiency, and mentor engineers.
A temporary Data Engineer/Programmer role in Hong Kong building automation, AI-enabled workflows, and data migration solutions using Microsoft Power Platform (Power Automate, Power Apps, RPA), APIs, low-code tools, and cloud platforms like Azure and AWS.
Lead a data engineering team at a technology-focused client in Hong Kong, setting engineering standards while hands-on with Apache Spark on AWS EMR, AWS data services, streaming APIs, and MLOps, plus some React/Node.js delivery. Offers a competitive monthly salary around 54K.
An automation data engineer role in Hong Kong designing and deploying solutions using Microsoft Power Platform, AI-powered workflows, and data migration across enterprise systems. Day-to-day work centers on API development, data pipelines, and Azure/AWS cloud integration with a focus on security, scalability, and stakeholder collaboration.
A data engineer designs and maintains scalable data pipelines and Apache Spark workloads on an AWS-based data platform (EMR, S3, Glue, Athena, Redshift), supporting analytics, MLOps, and AI/GenAI initiatives. The role is in Hong Kong through recruiter Michael Page for an unnamed client, requiring Python, advanced SQL, and Cantonese/English fluency.
Michael Page International (Hong Kong) is recruiting a data engineer to design, build, and maintain scalable data pipelines on an AWS-based platform using Spark. The role calls for 3-5 years of data engineering experience, strong Python/SQL, and familiarity with AWS data services (S3, Glue, Redshift), plus Cantonese and English fluency.
Senior full-stack developer role at Michael Page Hong Kong designing and delivering enterprise applications across the full lifecycle — building Angular/React front-ends and Node.js or Java (Spring Boot) back-ends, with strong emphasis on DevOps, CI/CD, cloud deployment and app modernization.
Full Stack Developer in Hong Kong building and maintaining enterprise applications for a large-scale modernization program: front-end work in Angular/React (JavaScript, TypeScript, HTML5, CSS3) and back-end services with Node.js and/or Java (Spring Boot), plus microservices, APIs, CI/CD, containers and cloud deployment.
Full-stack developer at a large insurer building and maintaining web and mobile apps with React and Java Spring Boot, contributing to GenAI initiatives via platforms like Dify, Ragflow and n8n, and deploying microservices on Azure Cloud with CI/CD pipelines. Cantonese required; minimum 4 years of full-stack experience.
Designs and builds Azure-based data pipelines and models for a securities firm, focusing on ETL/ELT and analytics.
Build and maintain scalable data pipelines on Azure and Databricks to support insurance analytics and reporting, ensuring data integrity and accessibility for business needs.
Design and build cloud-based data pipelines (ETL/ELT) using Azure Data Factory and Databricks to support analytics and reporting for a leading APAC securities firm.
Develop and maintain financial systems using Java and Python, troubleshoot issues, and collaborate with stakeholders to ensure smooth operations.
Develop and maintain Java/Python systems for a financial services firm, troubleshooting issues and supporting deployments in a collaborative Hong Kong office.
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