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

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