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 #J-18808-Ljbffr

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