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Michael Page (Hong Kong)

Open 43d reposted 2× · 2 open copies

Data Engineer/Programmer 35K

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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.
What's on Offer
  • Competitive monthly salary.
  • 14 days of annual leave.
  • Temporary role with opportunities to contribute to key projects.

Skills

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See also

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