Lead Data Engineer | Global Leading Insurer | APAC - Wide Transformation
Lead Data Engineer on a large-scale regional data transformation programme for a global insurer, deployed via consulting firm TechForce. The role designs enterprise data models, leads Azure/Databricks-based data engineering with Data Factory, PySpark, Python, and SQL, and mentors distributed teams to power analytics, reporting, and AI across Asia.
- Compensation
- HK$75K–HK$90K / mo
- Location
- Hong Kong Island
- Work setup
- Onsite
- Seniority
- Lead
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Proven experience designing and delivering enterprise-scale data platforms
- Strong expertise in Azure Data Factory, Databricks, PySpark, Python, and SQL
- Strong data modelling capabilities, including conceptual, logical, and physical modelling
- Experience leading data engineering teams or technical workstreams, mentoring engineers and driving best practices
- Hands-on experience building cloud-based data lakes, data warehouses, or modern data platforms
- Excellent stakeholder management and communication skills
- Experience working in large-scale enterprise transformation programmes
Nice to have
- Experience within financial services, insurance, wealth management, or other highly regulated industries
Full description
Salary: $75,000 – $90,000 per month
TechForce is a leading Technology consulting firm in Asia Pacific. We deploy business analysts, Project Managers and Subject matter experts to large enterprise-grade data-driven projects in the Banking, Insurance and Retail industries. We specialize in data transformation and integration, data analysis and modelling to support our clients' business operations. With a diverse portfolio of projects and a commitment to innovation, we offer an exciting opportunity for aspiring subject matter experts to gain valuable experience and contribute to cutting-edge data solutions
TechForce is looking for an experienced Lead Data Engineer to join a large-scale regional data transformation programme within the financial services sector. This role will be responsible for designing enterprise data models, leading Azure and Databricks-based data engineering delivery, and driving the development of scalable data products that enable analytics, reporting, and AI initiatives across multiple markets in Asia.
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Responsibilities
- Lead the design and delivery of a regional enterprise data platform, shaping the data foundation that powers analytics, reporting, and next-generation AI initiatives across multiple markets in Asia.
- Define and develop enterprise data models that transform complex business requirements into scalable, high-quality data products used by key business and technology stakeholders.
- Drive end-to-end data engineering delivery using Azure Data Factory, Databricks, PySpark, and cloud-native technologies to build robust, high-performing data pipelines.
- Provide technical leadership to distributed engineering teams, mentoring developers, establishing best practices, and influencing engineering standards across regional delivery teams.
- Partner closely with architects, business stakeholders, and data teams to translate strategic goals into innovative data solutions that create measurable business value.
- Champion modern data and AI capabilities, helping to build a future-ready data ecosystem that enables advanced analytics, automation, and intelligent decision-making.
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Requirements
- Proven experience designing and delivering enterprise-scale data platforms, with strong expertise in Azure Data Factory, Databricks, PySpark, Python, and SQL.
- Strong data modelling capabilities, including conceptual, logical, and physical data modelling, with experience creating scalable data structures for analytics and reporting.