Data Engineer – ANZ ESG CROP
This role will support a major Australian bank in delivering a scalable platform to identify potential risks and opportunities from a changing climate. The platform will enhance climate risk management through advanced modelling and geospatial capabilities, while enriching mandatory disclosure reporting.
Initial engagement will be for 9 to 12 months with a view to extend.
Objective
Build and optimize data pipelines supporting climate risk modelling and reporting.
Key Responsibilities
- Design and implement ETL/ELT processes for climate, geospatial, and risk datasets.
- Leverage AWS services (Glue, Lambda, Postgres) for large-scale data ingestion and transformation.
- Ensure data quality, governance, and audit readiness for mandatory disclosures.
- Collaborate with data scientists and modelers to operationalise advanced analytics.
Required Skillset
AWS (Lambda, Glue), Postgres (with high proficiency in ETL/ETL/SQL).
Experience
8–11 years in data engineering, including financial services or regulated industries.