Data Platform Engineer - Azure/Databricks ETL for Insurance

AXA; Hong Kong; On-site; HKD 600,000 - 900,000; Full time

Job summary

AXA Hong Kong and Macau is seeking a data engineer to lead cross‑functional data projects, design and maintain ETL/ELT pipelines on Microsoft Azure and optimize SQL for performance and reliability. You will mentor junior team members, collaborate with data modelers, coordinate with Group Office tech teams, and contribute to data quality initiatives while leveraging Agile tools such as JIRA and Confluence.

The role requires 5+ years hands-on experience in ETL/ELT, Databricks, and insurance domain

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: coordinating with external vendors and managing SLAs.

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 tuning

Stored procedures

Insurance domain

Azure Data Factory

Azure DevOps

Tools

Azure Data Factory

Databricks

Azure SQL

SQL Managed Instance

Azure DevOps

Job description

AXA Hong Kong and Macau is seeking a data engineer to lead cross‑functional data projects, design and maintain ETL/ELT pipelines on Microsoft Azure and optimize SQL for performance and reliability. You will mentor junior team members, collaborate with data modelers, coordinate with Group Office tech teams, and contribute to data quality initiatives while leveraging Agile tools such as JIRA and Confluence.

The role requires 5+ years hands-on experience in ETL/ELT, Databricks, and insurance domain