About the Role
Role Summary
We are seeking a Data Engineer Lead to design and build ETL pipelines and AI‑powered document intelligence systems that ingest sustainability audit evidence, extract structured data, and feed scoring, analytics, and reporting workflows.
This role focuses on execution: building reliable pipelines that combine manual inputs with automated extraction from unstructured documents (certifications, test reports, utility bills, declarations, and supply chain records), transforming them into structured, validated data used in scoring algorithms and downstream analytics.
You will work closely with the Data Architect, sustainability experts, and analytics teams to reduce manual effort, improve data quality, and scale the platform.
Key Responsibilities
- Build and maintain ETL/ELT pipelines to:
- Ingest audit metadata and document links (Dropbox, Google Drive)
- Capture manual friendly‑value inputs
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