About the role

  • Support a major Australian bank in delivering a scalable platform to identify potential risks and opportunities from a changing climate
  • Build and optimize data pipelines supporting climate risk modelling and reporting
  • Design and implement ETL/ELT processes for climate, geospatial, and risk datasets
  • Leverage AWS services (Glue, Lambda) and 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
  • Initial engagement 9 to 12 months with a view to extend

Requirements

  • 8–11 years in data engineering, including financial services or regulated industries
  • AWS (Lambda, Glue)
  • Postgres
  • High proficiency in ETL/ELT and SQL

Job title

Data Engineer

Job type

Experience level

SeniorLead

Salary

Not specified

Degree requirement

No Education Requirement

Location requirements

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