Data Engineer

Responsibilities Design, build, and maintain robust data pipelines using Databricks and Python Integrate and transform structured and unstructured data from multiple sources Collaborate with analysts and stakeholders to deliver insightful Power BI dashboards Ensure data quality, governance, and security across platforms Optimise data workflows for performance and scalability Support campaign analytics and customer segmentation initiatives Requirements 3+ years of hands-on experience in data engi

Hays - Hong Kong - Full time

Salary: Competitive

Responsibilities
  • Design, build, and maintain robust data pipelines using Databricks and Python
  • Integrate and transform structured and unstructured data from multiple sources
  • Collaborate with analysts and stakeholders to deliver insightful Power BI dashboards
  • Ensure data quality, governance, and security across platforms
  • Optimise data workflows for performance and scalability
  • Support campaign analytics and customer segmentation initiatives
Requirements
  • 3+ years of hands-on experience in data engineering or related field
  • Proficiency in Python for data manipulation and automation
  • Experience with Databricks and cloud-based data platforms (e.g., Azure, AWS)
  • Strong skills in Power BI for data visualisation and reporting
  • Familiarity with insurance or financial services data (preferred)
  • Excellent problem-solving and communication skills

If you're interested in this role, forward an up-to-date copy of your CV to alice.tong@hays.com.hk, or call us now.

If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.
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