Insurance Data Engineering Lead: Real-Time Pipelines & AI-Ready

Morgan Mckinley Limited; Hong Kong; On-site; HKD 900,000 - 1,300,000; Full time

Job summary

Morgan McKinley Limited is seeking a seasoned Data Engineering Lead in Hong Kong to coach a team, shape data architecture, and deliver end-to-end data pipelines for insurance operations.

You will stay hands-on with implementation details while guiding design reviews, standards, and best practices. Experience with Kafka/Spark/Databricks and cloud data platforms is essential to drive scalable AI-ready data solutions.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering or a related discipline.
• 6-10 years of relevant experience in data engineering, data transformation, data integration or related technology roles.
• Proven experience in the insurance industry, particularly with insurance operations, processes and business requirements.
• Previous experience as a technical team leader or engineering manager.
• Strong hands-on experience in data engineering, data pipelines, real-time data streaming and enterprise system integration.

Responsibilities

• Lead a team of data engineers, providing people management, technical guidance, coaching and day-to-day support.
• Work closely with business, technology and data stakeholders to deliver end-to-end data engineering solutions.
• Gather and analyse business requirements with a focus on insurance operations and translate them into scalable data solutions.
• Lead design, development, testing, implementation and support of data engineering, data transformation, streaming and API solutions.
• Remain hands-on in data engineering and transformation activities while providing technical advice and reviewing engineering deliverables.
• Design and optimise data pipelines and real-time data services using Kafka, Spark, Databricks, Azure Data Factory and EFL.
• Ensure quality, scalability, security, performance, cost efficiency and maintainability of data platforms.
• Manage end-to-end delivery including project planning, design, resource coordination, risk management, testing and deployment.
• Collaborate with frontend and application teams to support data and API integration with business applications.
• Lead code reviews, establish development standards, improve testing and deployment processes, and promote reusable practices.
• Present technical recommendations to senior stakeholders and support decision-making across projects.
• Contribute to development of an AI-ready data platform and future data/digital transformation initiatives.

Skills

People management

Technical guidance

Stakeholder management

Project management

SQL

Programming (Python/Scala/Java/C#)

Cloud data platforms

Education

Bachelor's degree in Computer Science/IT/Engineering

Tools

Kafka

Spark

Databricks

Azure Data Factory

Job description

Morgan McKinley Limited is seeking a seasoned Data Engineering Lead in Hong Kong to coach a team, shape data architecture, and deliver end-to-end data pipelines for insurance operations.

You will stay hands-on with implementation details while guiding design reviews, standards, and best practices. Experience with Kafka/Spark/Databricks and cloud data platforms is essential to drive scalable AI-ready data solutions.