1155 | Senior Data Ingestion Engineer

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