Senior Data Engineer - Azure Data & Analytics

Ikas International (Asia) Limited

Hong Kong Island

On-site

HKD 550,000 - 900,000

Full time

2 days ago
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Job summary

Ikas International (Asia) Limited is seeking an experienced Data Engineer to join a major data transformation initiative in Hong Kong. You will design and maintain scalable data pipelines and data warehouses to support reporting and BI.

The role requires collaboration with stakeholders and developers to ensure reliable data assets across platforms. Experience with Azure Databricks, Spark, PySpark, SQL tuning, and Azure data services is essential; familiarity with Qlik Sense/View is a plus.

Qualifications

  • Degree in Computer Science, IT, Engineering, or a related field.
  • Minimum 5 years of data engineering, ETL, or data warehousing experience.
  • Hands-on with Azure Databricks, Spark, and PySpark; SQL performance tuning.

Responsibilities

  • Design, develop, and maintain scalable data pipelines across multiple platforms.
  • Build and optimise data warehouse and analytics environments for BI requirements.
  • Collaborate with stakeholders, analysts, and developers to ensure high-quality data assets.
  • Integrate and transform data from legacy and modern systems for seamless data flow.
  • Support continuous improvement of data platform performance, governance, and best practices.
  • Contribute to Agile delivery and participate in automation, deployment, and DevOps initiatives.

Skills

Azure Databricks
Apache Spark
PySpark
SQL development
Azure Data Factory
Azure Data Lake
Azure SQL Managed Instance
Qlik Sense
QlikView
CI/CD
Agile delivery
Data modeling

Education

Bachelor's degree in Computer Science/IT/Engineering or related field

Tools

Azure Databricks
Apache Spark
PySpark
Azure Data Factory
Azure Data Lake
Azure SQL Managed Instance
Qlik Sense
QlikView

Job description

Ikas International (Asia) Limited is seeking an experienced Data Engineer to join a major data transformation initiative in Hong Kong. You will design and maintain scalable data pipelines and data warehouses to support reporting and BI.

The role requires collaboration with stakeholders and developers to ensure reliable data assets across platforms. Experience with Azure Databricks, Spark, PySpark, SQL tuning, and Azure data services is essential; familiarity with Qlik Sense/View is a plus.

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