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 #J-18808-Ljbffr

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