Senior Data Engineer

1.1.1 Overview:

We are seeking a Senior Health Data Engineer to drive the design and implementation of a common Health Data Model and Health Data Products to provide ready-to-use, easily consumable, trusted data set to support the AI and analytics use cases required to drive Manulife’s Health business ambition. This role is critical in enabling business units to innovate faster, optimize operations, and deliver localized analytics and AI capabilities. The successful candidate will participate in regional health strategic initiatives such as Provider Management Solutions, Health KPIs and Claim Driver analyses/automation, and other Regional/Local Health Analytics/AI use cases that require a common health data model.

As part of ADO, you will have the opportunity to:

Lead regional health data initiatives impacting regional and local health businesses

Collaborate with data scientists, AI teams, and business leaders in a dynamic, forward-thinking environment.

Drive innovation and shape the future of health data products within the organization, to enable cutting-edge analytics/AI use cases including Generative AI (GenAI), Large Language Models (LLMs), Agentic AI, and advanced solutions leveraging OpenAI GPT models and AliCloud Qwen models.

1.1.2 Key Responsibilities:
1.1.2.1 Lead Health Data Engineering Design and Delivery

Partner with the regional and local health business teams, local data offices, AI/Analytics team, and cross-functional technical teams to design, build, and deploy an Asia regional common health data model, leveraging existing ADO platform, governance, practices and standards.

Define engineering standards and enforce best practices for scalability, performance, and reliability.

Oversee end-to-end engineering delivery from concept to production, including testing, deployment, and monitoring.

Establish robust frameworks, pipelines, and reusable components to develop a common data model across business units, to enable reusability and ready-to-consume data sets.

1.1.2.2 Technical Leadership and Troubleshooting

Provide hands-on technical leadership during implementation phases, guiding engineering teams through complex challenges.

Act as the primary escalation point for engineering issues across multiple projects.

Conduct code reviews, performance tuning, and optimization to ensure high-quality, secure deployments.

1.1.2.3 Compliance, Security, and Risk Management

Integrate compliance and security controls into the common Health data model and data products, ensuring adherence to regulatory requirements and internal governance standards.

Proactively identify risks related to model deployment, data privacy, and ethical considerations, and implement mitigation strategies.

Maintain documentation and audit trails for all Health Data Engineering activities.

1.1.2.4 Community of Practice Contribution

Actively contribute to the Data Engineering Community of Practice by sharing best practices, reusable assets, and technical insights.

Foster collaboration and knowledge exchange across regions to accelerate Health data product maturity within the organization.

1.1.3 Qualifications & Skills:

Education: Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.

Experience:

10+ years in one or more of the following

Data Engineer

Platform Engineer

DevOps Engineer

Software Engineer

Technical Expertise:

o Proficient understanding of distributed computing principles

o Good Knowledge of Hadoop cluster, Azure, with all included services

o Ability to solve any ongoing issues with operating the cluster

o Experience with Azure ADLS, Data Factory, Databricks, Event Hubs

o Experience with data engineering projects

i.e. integration of data from multiple data sources to a target system

o Good knowledge of data querying tools – Azure Synapse Analytics, Databricks SQL Warehouse

o Knowledge in data streaming (e.g. Event Hubs, Spark)

o Knowledge in Python and Spark

o Knowledge in any Change Data Capture (CDC) solutions (e.g. Debezium)

o Experience on Azure Cloud and/or other Cloud platforms

o Database development and management (e.g. Azure SQL, Cosmos)

o Experience with Alibaba Cloud, AI/BI, and/or GenAI is an advantage.

Soft Skills:

Excellent leadership, communication, and stakeholder management skills.

o Project management experience is an advantage.

o Experience in working on Agile projects is an advantage.

o Understanding of the insurance and/or financial industry is an asset

When you join our team:

We’ll empower you to learn and grow the career you want.

We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words.

As part of our global team, we’ll support you in shaping the future you want to see.

宏利金融有限公司是全球领先的金融服务提供商，致力于帮助大众轻松作出明智抉择，实现精彩人生。如欲了解更多关于我们的信息，请访问人寿保险-养老保险-健康保险-中宏保险官网 (manulife-sinochem.com).

宏利是平等機會僱主

在宏利／恒康，我們擁抱多元。我們致力於吸引、培養及挽留和所服務客戶同樣多元的員工，並從而營造包容的工作環境，接納文化和個體差異。我們矢志維持公平的招聘、挽留、晉升及薪酬制度，我們管理的所有實踐及項目不會因種族、血統、原籍地、膚色、族裔、國籍、宗教或宗教信仰、信仰、性別（包括懷孕及其相關情況）、性取向、遺傳特徵、退伍軍人身份、性別認同、性別表達、年齡、婚姻狀況、家庭狀況、殘疾或受適用法律保護的任何其他因素而區別對待。

我們的首要任務是消除障礙，為員工提供平等就業機會。人力資源部代表將盡力為應徵過程中提出要求的申請人提供合理協助。申請人要求提供協助所分享的信息將會按照適用法律及宏利／恒康政策儲存及使用。應徵過程中如需協助，請聯絡 hr@manulife.com。

Working Arrangement

混合办公