Azure Databricks Data Engineer - Insurance Data Pipelines

Michael Page International (HK) Ltd; Hong Kong; On-site; HKD 335,000 - 502,000; Full time

Benefits offered by this job

Great Learning Platform

Exposure to Financial Industry

Renewable contract

Job summary

Michael Page International (HK) Ltd is seeking a Data Engineer to design, develop, and maintain scalable data pipelines using Azure and Databricks within the insurance sector. You will collaborate with stakeholders to collect data requirements, ensure data integrity, and secure accessibility for business needs.

The role emphasizes optimizing workflows, implementing data quality frameworks, and integrating diverse data sources into unified systems.

Qualifications

• Proficiency in programming languages such as Python, SQL, or similar.
• Experience with cloud-based data platforms and tools.
• Knowledge of database management systems and ETL pipelines.
• The ability to work collaboratively in a technology-focused environment.
• Analytical mindset with excellent problem-solving skills.

Responsibilities

• Designing, developing, and maintaining scalable data pipelines and systems.
• Collaborating with stakeholders to gather and process data requirements.
• Ensuring data integrity, security, and accessibility for business needs.
• Optimizing data workflows and identifying areas for improvement.
• Implementing data quality frameworks to ensure accuracy and reliability.
• Supporting the integration of data from various sources into unified systems.

Skills

Python

SQL

Cloud platforms

ETL pipelines

Collaboration

Analytical thinking

Tools

Cloud platforms

Job description

Michael Page International (HK) Ltd is seeking a Data Engineer to design, develop, and maintain scalable data pipelines using Azure and Databricks within the insurance sector. You will collaborate with stakeholders to collect data requirements, ensure data integrity, and secure accessibility for business needs.

The role emphasizes optimizing workflows, implementing data quality frameworks, and integrating diverse data sources into unified systems.