Data Engineer - Azure ETL/Databricks & SQL

AXA Hong Kong and Macau; Hong Kong; On-site; HKD 300,000 - 520,000; Full time

Job summary

AXA Hong Kong And Macau is seeking an experienced Data Engineer to lead data-driven projects, build and optimize ETL/ELT pipelines on Azure, and work with cross-functional teams to support business objectives.

The role requires strong SQL skills, experience with Databricks and Azure Data Factory, and a solid grasp of data modeling and Agile practices. Collaboration with AXA teams and vendors is essential.

Qualifications

• Over 5 years of hands-on experience with ETL/ELT tooling, Databricks, SQL, and stored procedures.
• Solid domain knowledge on Insurance.
• Strong SQL tuning/optimization skills.
• Experience with Azure Data Factory and Databricks; familiarity with Azure SQL or SQL Managed Instance.
• Working knowledge of Azure DevOps (Repos, CI/CD pipelines).
• Understanding of data modeling and normalization.
• Experience with Agile methodologies and collaboration tools (JIRA, Confluence, Kanban).
• Vendor management: experience coordinating with external vendors, managing deliverables, and tracking SLAs; ability to engage vendors for data platform needs.

Responsibilities

• Lead and collaborate with cross-functional teams to deliver data-driven projects that support business objectives.
• Gather, analyze, and interpret complex data sets to identify trends, patterns, and insights.
• Design, develop, and maintain ETL/ELT pipelines on Microsoft Azure (Azure Data Factory, Databricks, Azure SQL / Azure SQL Managed Instance).
• Optimize SQL queries and stored procedures for performance, scalability, and reliability.
• Collaborate with data modelers to understand data structures, normalization, and data quality requirements.
• Implement CI/CD pipelines and deployment strategies using Azure DevOps (Repos, pipelines, release management).
• Monitor, troubleshoot, and improve data pipelines; address data quality issues and incidents.
• Support the Data Tech Lead and internal AXA teams with technical discussions and development work.
• Mentor junior team members and provide guidance on data analysis techniques and best practices.
• Coordinate with Group Office tech team and other local IT teams (architects, BAs, etc.) as needed.
• Participate in Agile ceremonies and use collaboration tools (JIRA, Confluence, Kanban boards).

Skills

ETL/ELT tooling

Databricks

SQL

Stored procedures

Tools

Azure Data Factory

Azure Databricks

Azure SQL / Azure SQL Managed Instance

Azure DevOps

Job description

AXA Hong Kong And Macau is seeking an experienced Data Engineer to lead data-driven projects, build and optimize ETL/ELT pipelines on Azure, and work with cross-functional teams to support business objectives.

The role requires strong SQL skills, experience with Databricks and Azure Data Factory, and a solid grasp of data modeling and Agile practices. Collaboration with AXA teams and vendors is essential.