Job duties:

Deliver BI solutions from requirement gathering and data modelling through ETL pipeline development to the delivery of trusted dashboards and reports - working across Azure, Azure DevOps, Databricks, Tableau and Power BI.
Build and maintain ETL/ELT pipelines using tools such as Tableau Prep, Azure Data Factory (KNIME) and Databricks notebooks
Leverage AI prompt engineering techniques to interrogate, document and communicate complex data product logic - including data lineage, field definitions and business rules across Databricks, Tableau Prep and KNIME pipelines.
Oversee the data lake to data lakehouse migration and new BI product development.
Work closely with key stakeholders (Supply Chain), collaborate with external partners and vendors to support BI tooling quality, licensing and platform performance.
Apply AI prompt engineering to rapidly understand unfamiliar datasets, generate data documentation and validate field logic.

Requirements:

Bachelor's degree in related discipline
At least 4 years' of experience of BI solution delivery with supply chain background is preferred
Hands-on experience building BI solutions end-to-end: requirement gathering, data modelling, ETL development and dashboard delivery in a professional setting.
Practical experience with ETL/ELT tooling - Tableau Prep, Azure Data Factory to build and maintain data transformation pipelines.
Hands on experience in dimensional data modelling, development tracking, upgrading data lake (AWS) to data lakehouse architecture (Azure + Databricks) as well as Tableau and Power BI for visualisation.
Fluent spoken and written English is highly preferred, as well as Cantonese and Mandarin