Michael Page (Hong Kong)
Data Engineer/Programmer 35K
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.
- Compensation
- HK$35K / mo
- Location
- Hong Kong, Hong Kong
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Contract
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Demonstrated experience with Microsoft Power Platform technologies, including Power Automate, Power Apps, and RPA solutions
- Familiarity with integrating AI capabilities into business operations and process automation initiatives
- Strong knowledge of data engineering concepts, data migration activities, and data pipeline development
- Hands-on experience working with low-code development platforms
- Strong analytical, problem-solving, communication, and stakeholder management abilities
- Experience participating in large-scale enterprise automation initiatives
- Knowledge of cloud technologies such as Azure and AWS, as well as API development practices
- Understanding of software development lifecycle (SDLC) methodologies and Agile delivery approaches
Full description
- Work across automation, AI integration, and data migration projects.
- Broad exposure to Power Platform, APIs, cloud technologies, and low-code tools.
About Our Client
Our client is a well-established organization seeking to strengthen its technology capabilities through automation, data transformation, and low-code development initiatives. The role supports business process improvement and enterprise technology solutions in a professional corporate environment.
Job Description
- Design, build, and deploy solutions using Microsoft Power Platform technologies, including Power Automate, Power Apps, and robotic process automation (RPA) tools.
- Incorporate AI-driven capabilities into business workflows to improve automation and operational effectiveness.
- Ensure all solution development aligns with established IT security requirements and technology infrastructure standards.
- Develop, enhance, and maintain APIs to enable system connectivity and process integration.
- Lead data migration projects across platforms and applications.
- Architect and implement data infrastructure, data flows, and pipelines to support efficient migration and transformation activities.
- Apply data engineering best practices to maintain data quality, scalability, reliability, and performance.
- Maintain and enhance low-code development environments, including enterprise low-code platforms.
- Provide ongoing support for existing applications and automated processes, ensuring stability, performance, and a positive user experience.
- Partner with business and technical stakeholders to identify optimization opportunities and deliver continuous improvements.
The Successful Applicant
- Demonstrated experience with Microsoft Power Platform technologies, including Power Automate, Power Apps, and RPA solutions.
- Familiarity with integrating AI capabilities into business operations and process automation initiatives.
- Strong knowledge of data engineering concepts, data migration activities, and data pipeline development.
- Hands-on experience working with low-code development platforms.
- Strong analytical, problem-solving, communication, and stakeholder management abilities.
- Experience participating in large-scale enterprise automation initiatives.
- Knowledge of cloud technologies such as Azure and AWS, as well as API development practices.
- Understanding of software development lifecycle (SDLC) methodologies and Agile delivery approaches.