Data Engineer – Leading IoT Company Data Engineer – Leading IoT Company …

in Hong Kong
Permanent, Full time
Be the first to apply
HKD 720,000 per year
in Hong Kong
Permanent, Full time
Be the first to apply
HKD 720,000 per year
Posted by:
Joel Azariah • Recruiter
Posted by:
Joel Azariah
The Role: A fantastic opportunity to join a rapidly growing IoT company that is revolutionizing energy management in the construction industry across the world. Join a fast growing team in Hong Kong to develop cutting edge products and solutions

Knowledge and Experience



  • Building and maintaining a variety of data pipelines
  • Evaluating and choosing database and data service technologies to fit business needs
  • Writing well documented and maintainable code (BDD, TDD)
  • Using Google Cloud Platforms and Amazon Web Services tools
  • Participating in code reviews and working with other engineers
  • Deploying and monitoring the services you build
  • Practicing Agile or Scrum
  • We are open to candidates of different skill levels and will consider the title of Senior Data Engineer for those with more advanced capabilities.





  • Using real-time streaming or pub/sub technologies
  • Writing automated functional tests
  • Running continuous integration or continuous deployment
  • Strong understanding of relational databases
  • Building or supporting dashboards and business intelligence tools
  • Experience in data science and machine learning
  • Python, Java, Scala, Go, JS
  • Influx, Grafana, and related technologies


Skills and Values

  • Comfortable with direct and honest communication and feedback
  • Proactive problem solver
  • Comfortable with english communication on technical subjects
  • Humble and solution focused approach to problem solving
  • Organized and detail oriented
  • Comfortable making decisions and taking responsibility



  • Maintain various data pipelines from our fleet of devices and from ad-hoc projects
  • Data model/schema design, from conceptualization, to solution design, implementation, to optimization
  • Ensure that data is available and useable for monitoring, visibility, and analytics/prediction models
  • Collaborate with our analysts and internal teams to improve data models to better serve business needs
  • Support our ability to deliver new data and analytics products to customers and partners
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