Lead Data Engineer | Global Leading Insurer | APAC - Wide Transformation

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.

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.

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.

• Experience leading data engineering teams or technical workstreams, with the ability to mentor engineers, guide solution delivery, and drive engineering best practices.

• Hands-on experience building cloud-based data lakes, data warehouses, or modern data platforms, delivering high-quality data products in complex enterprise environments.

• Excellent stakeholder management and communication skills, with the ability to translate business requirements into scalable technical solutions and collaborate effectively across business and technology teams.

• Experience working in large-scale enterprise transformation programmes, ideally within financial services, insurance, wealth management, or other highly regulated industries.