Senior Data Engineer: Azure Lakehouse & AI/BI

HSO

Hong Kong

On-site

HKD 420,000 - 720,000

Full time

8 days ago

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Job summary

HSO, a trusted advisor and leading Microsoft Data & AI partner, seeks a data/AI professional in Hong Kong to join our team serving clients across Asia. You will report to a supervisor based in Hong Kong and contribute to Microsoft data and analytics projects.

Responsibilities include designing and implementing Lakehouse solutions with Azure technologies, building ETL/ELT jobs, creating documentation with Generative AI, and guiding end-to-end delivery from development to go-live support.

Qualifications

  • Degree in Computer Science / Information Technology or related discipline.
  • At least 3 years building Lakehouse or Data Warehouse and ETL development.
  • Proficiency in MS SQL and Python is required.
  • Knowledge of Azure Fabric, Synapse, Databricks, Data Lake and Purview is a plus.
  • Proficiency in English and Cantonese is essential.

Responsibilities

  • Understand requirements for Power BI, AI Agent and ML tasks and apply Agentic Data Engineering.
  • Analyze, design, develop and implement Lakehouse and Data Warehouse solutions with Azure tech.
  • Develop complex ETL/ELT jobs using Fabric, Synapse, SSAIS/DevOps tools.
  • Create or update documentation with Generative AI to support development.
  • End-to-end involvement from development to go-live support.

Skills

Analytical mind
Self-motivated
Can-do attitude
English proficiency
Cantonese proficiency

Education

Degree in Computer Science / Information Technology

Tools

MS SQL
Python
Microsoft Fabric
Azure Data Factory
Azure Synapse Analytics
Databricks
Azure Data Lake
Microsoft Purview
SSIS
SSAS

Job description

HSO, a trusted advisor and leading Microsoft Data & AI partner, seeks a data/AI professional in Hong Kong to join our team serving clients across Asia. You will report to a supervisor based in Hong Kong and contribute to Microsoft data and analytics projects.

Responsibilities include designing and implementing Lakehouse solutions with Azure technologies, building ETL/ELT jobs, creating documentation with Generative AI, and guiding end-to-end delivery from development to go-live support.

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