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A 1-year contract role at Gleneagles Hospital Hong Kong building and maintaining end-to-end analytics data pipelines (ETL/ELT), data models, and BI dashboards. Day-to-day work centers on SQL, Azure data tools (Data Factory, Synapse, Fabric), Databricks, and Power BI, plus data quality and stakeholder reporting needs.
An analytics engineer consultant at Sia Partners Hong Kong who works with clients to turn raw data into reliable, business-impacting data products: designing data models, building ETL/ELT pipelines, industrialising dashboards and APIs (Power BI, Tableau), and supporting users through deployment and change management. Core tech includes SQL, cloud platforms (AWS/GCP/Azure), Git, and CI/CD.
An Analytics Engineer Consultant at Sia Partners Hong Kong turns raw data into analytics products and insights, combining data analysis with engineering. Day to day they design data models, build ETL/ELT pipelines, and deliver data products like dashboards and APIs while maintaining governance and working with business teams.
Adecco is hiring a Data Engineer for financial-services/AI projects in Hong Kong. The role builds data platform solutions (data lake, virtualization, visualization), develops API-integrated services, and supports AI application deployment, using Java/Node.js/Python, Airflow, Spark, Docker, Terraform, Kubernetes and public cloud in a CI/CD DevOps environment.
Michael Page International (HK) is recruiting a Data Engineer in Hong Kong to design, build, and maintain scalable cloud data pipelines, optimizing Spark workloads on AWS EMR for batch and real-time processing. The core stack is Python, SQL, and AWS services including S3, Glue, Athena, Redshift, and Lambda.
Adecco is hiring a Data Platform Engineer in Hong Kong to build and enhance data platform solutions — data lake, data virtualization, and data visualization — for AI & financial services on cloud. Day to day: collaborating with architects and product owners in a CD environment, running POCs, acceptance testing, and API integration with a focus on scalability, security, and maintainability.
Venturenix Limited is hiring a data platform engineer in Hong Kong to design and maintain scalable data ingestion and processing pipelines with Apache Airflow, manage Data Lake architectures, and deploy containerized workloads on Kubernetes while implementing CI/CD for high availability and data integrity.
A data engineer in Hong Kong builds and enhances a financial institution's data platform — data lake, virtualization, visualization, APIs/MCPs and AI data pipelines — working with architects, platform engineers and product owners. Core stack: Java/Node.js/Python, bash/PowerShell, IaC, and CI/CD tooling (Jenkins, Ansible, Git) on public cloud.
Data platform engineer in Hong Kong building scalable data solutions — data virtualization, visualization, and data lake architectures — running proof-of-concept tests, delivering services, and integrating internal/external APIs in a continuous delivery environment alongside Architects, Platform Engineers, and Product Owners. Requires 3+ years' data platform experience, IaC, DevOps pipelines, and
A data engineering consultant at Deloitte Hong Kong who helps clients shape and deliver data solutions using ETL, Python, and SQL on local and international engagements. Day to day involves data modeling, platform design, cross-functional collaboration, and business development while building expertise in analytics and cognitive services.
Builds automation solutions, integrates AI capabilities, and leads data migration initiatives across enterprise apps and low-code platforms. Day-to-day work centers on Microsoft Power Platform (Power Automate, Power Apps), RPA, data engineering, and API development, in a permanent on-site role in Hong Kong.
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.
A big data engineer at a Hong Kong fintech who designs and builds the enterprise data warehouse, ETL pipelines, and BI/reporting systems, and increasingly integrates LLMs, RAG, and vector databases for AI-driven analytics. Core stack: Spark, Flink, Hive, Kafka, ClickHouse, MySQL, Docker/K8s, and Java/Scala/Python.
A data engineer in Hong Kong who designs and implements an enterprise data warehouse, drives data governance and metric standardization, and builds AI/LLM-powered data analysis. Day-to-day work spans ETL optimization, big data pipelines, and enabling self-service analytics via dashboards and reporting.
Builds automation and low-code solutions using Microsoft Power Platform (Power Automate, Power Apps, RPA), embeds AI into business workflows, develops APIs, and leads data migration with supporting data pipelines for a well-established Hong Kong organization. Temporary role with a competitive monthly salary.
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.
Data engineer in Hong Kong building scalable data pipelines and Apache Spark workloads on AWS (EMR, S3, Glue, Redshift) while supporting MLOps and AI/GenAI data foundations. Requires 3-5 years of data engineering experience, strong Python and SQL, and fluency in Cantonese and English.
Data engineer at a major bank in Hong Kong who designs, builds, and maintains scalable ETL pipelines and databases, ensures data quality and documentation, and partners with data scientists and business stakeholders. Core stack: SQL, relational databases, cloud data warehouses, ETL tools, Python/Java/Scala, and Spark/Kafka.
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.
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