Data Engineering Lead - Insurance

Michael Page International (Hong Kong) Limited; Hong Kong; On-site; HKD 900,000 - 1,500,000; Full time

Job summary

Michael Page International (Hong Kong) Limited is seeking an experienced Data Engineering Lead in Hong Kong to drive data platforms across healthcare projects. You will collaborate with business leaders and IT stakeholders to define scope and ensure timely delivery, while guiding regional data initiatives and architecture standards.

The role requires strong Azure expertise (ADLS, ADF, Synapse, Databricks) and a track record in leading large-scale data initiatives with solid stakeholder

Qualifications

• Bachelor's or Master's degree in computer-related field.
• 8+ years IT experience with 5+ years in data engineering leadership.
• Hands-on with Azure data stack and Databricks.
• Experience leading large-scale data platform initiatives and stakeholder communication.

Responsibilities

• Collaborate with Health business leaders, product owners, regional teams, and IT stakeholders to gather requirements and define delivery timelines.
• Partner with regional teams to align data initiatives across markets.
• Estimate effort and translate requirements into epics and roadmaps.
• Design, develop, and maintain batch and real-time data pipelines, data lakehouses, and enterprise data warehouses.
• Provide technical leadership for Azure Databricks, Spark, and ETL/ELT frameworks.
• Build data ingestion, orchestration, transformation, and data quality frameworks.
• Drive data governance, standards, and security/compliance.
• Lead code reviews, troubleshooting, performance tuning, and cost-optimization.

Skills

Azure data platforms

Azure Data Lake Storage

Azure Data Factory

Azure Synapse Analytics

Azure SQL

Azure Databricks

Apache Spark

ETL/ELT design

Relational databases

Data governance

Education

Bachelor's degree in Computer Science / IS / Engineering

Master's degree in Computer Science / IS / Engineering

Tools

Power BI

Tableau

FineBI

Job description

• Data Engineering Lead - New headcount
• Healthcare projects

About Our Client

Leading insurance firm

Job Description

As a Data Engineering Lead, your main responsibilities will include:

• Collaborate closely with Health business leaders, product owners, regional teams, and IT stakeholders to gather business requirements, define project scope, and drive successful delivery within agreed timelines.
• Partner with regional teams to align data initiatives, priorities, and implementation strategies across multiple markets.
• Perform effort estimation and project planning, translating complex business requirements into technical epics, user stories, and delivery roadmaps.
• Design, develop, and maintain scalable data platforms, including batch and real-time data pipelines, data lakehouses, and enterprise data warehouse solutions.
• Provide technical leadership for enterprise data environments, establishing architecture standards, engineering best practices, and platform optimization strategies across Azure Cloud and Databricks.
• Build and enhance data ingestion, orchestration, transformation, and data quality frameworks to ensure reliable and efficient data processing.
• Drive data governance, technical standards, and best practices to maintain data integrity, security, and compliance.
• Lead code reviews, technical troubleshooting, performance tuning, and cost-optimization initiatives to ensure robust and resilient data solutions.

The Successful Applicant

A successful Data Engineering Lead should have:

• Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related discipline.
• Minimum 8 years of IT experience, including at least 5 years in data engineering leadership, technical lead, or solution delivery roles.
• Strong hands-on experience with Azure technologies, including Azure Data Lake Storage (ADLS), Azure Data Factory (ADF), Azure Synapse Analytics, and Azure SQL.
• Deep expertise in Azure Databricks, Apache Spark (PySpark/Spark SQL), and modern ETL/ELT framework design and implementation.
• Solid experience with relational database technologies such as Oracle, SQL Server, or PostgreSQL.
• Proven ability to lead large-scale data platform initiatives and communicate complex technical concepts effectively to both technical and non-technical stakeholders.
• Familiarity with Alibaba Cloud (AliCloud) big data technologies, including DataWorks, MaxCompute, OSS, and Hologres, is highly desirable.
• Experience with data visualization and reporting tools such as Power BI, FineBI, Tableau, or similar enterprise BI platforms.
• Strong analytical, stakeholder management, and problem-solving skills, with the ability to work effectively in a fast-paced and collaborative environment.