The Data/Ingestion Engineer will design and implement scalable ingestion pipelines for high-volume structured and unstructured insurance documents, including PDFs, scans, emails, Word, Excel and PowerPoint files. 

The role includes OCR/document extraction, text cleaning and normalization, semantic chunking, metadata tagging, vector storage/RAG preparation, validation, monitoring and integration with downstream AI solutions.

Requirements

• At least 7 years of experience as Data Engineer with Python and SQL
• At least 5 with AWS, the rest should be more or less but should be real experience that the candidate is able to talk about and give a concrete example/
• Must to have : 
• Python
• SQL
• AWS
• S3
• Step Functions
• CloudWatch
• Data/document ingestion pipelines
• Processing of unstructured documents:
• PDF
• scanned documents
• Word
• Excel
• PowerPoint
• emails
• OCR / document extraction technologies
• AWS Textract or equivalent
• Connectors/integrations with sources such as:
• SharePoint
• email
• Text cleaning and normalization
• Metadata extraction/tagging
• Automated error monitoring
• Validation of OCR/extraction results
• Git
• CI/CD
• Testing
• Public-cloud data processing/document ingestion experience
• Good to have :
• Vector databases
• RAG
• Semantic chunking
• Vector-storage schema design
• Retrieval mechanisms
• Azure
• Databricks
• AWS Textract specifically
• Experience within insurance / financial services
• Experience handling enterprise security and low-latency SLA requirements
• English Level C1
• Duration of the mission :  1 year