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 Power Point 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
Cloud Watch

Data/document ingestion pipelines

Processing of unstructured documents: PDF

scanned documents
Word
Excel
Power Point
emails
OCR / document extraction technologies





AWS Textract or equivalent

Connectors/integrations with sources such as: Share Point

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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📌 1155 | Senior Data Ingestion Engineer (Madrid)
🏢 Intetics
📍 Madrid