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. 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

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📌 Senior Data Architect - Cloud (Valencia)
🏢 Intetics
📍 Valencia