Automation & Data Engineer (Python + n8n + AWS – Construction Estimating)

We are building an automated construction estimating platform (Specdoors) that processes door schedules and drawings, applies supplier pricing rules, and generates client-ready Excel and PDF quotes with minimal human interaction.

The system flow is:
Client uploads drawings ? automated document extraction (AWS Textract / Rekognition) ? rule-based pricing in Python ? Excel & PDF quote generation ? human QA ? send to client.

This is NOT a generic AI role. This is a backend automation and data processing role with real-world pricing logic.

What you will be working on:
• Building automated workflows using n8n
• Integrating AWS Textract for table and form extraction
• Writing Python logic to match extracted data to supplier pricing rules (Excel-based)
• Generating formatted Excel quotes from templates
• Exporting PDF quotes from Excel or via Python
• Implementing validation and QA checks (missing data, pricing mismatches, size bands)

Important:
• Pricing is deterministic and rule-based (not AI guessing)
• Supplier pricing is already provided in Excel rule packs
• Accuracy and traceability matter more than speed

Nice to have (not required):
• Experience with construction, estimating, or quantity surveying
• Experience with OCR or document processing systems

This role suits someone who enjoys building practical automation systems and clean backend logic.