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 SQLAt 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:PythonSQLAWSS3Step FunctionsCloudWatchData/document ingestion pipelinesProcessing of unstructured documents:PDFscanned documentsWordExcelPowerPointemailsOCR / document extraction technologiesAWS Textract or equivalentConnectors/integrations with sources such as:SharePointemailText cleaning and normalizationMetadata extraction/taggingAutomated error monitoringValidation of OCR/extraction resultsGitCI/CDTestingPublic-cloud data processing/document ingestion experienceGood to have:Vector databasesRAGSemantic chunkingVector-storage schema designRetrieval mechanismsAzureDatabricksAWS Textract specificallyExperience within insurance / financial servicesExperience handling enterprise security and low-latency SLA requirementsEnglish Level C1Duration of the mission : 1 year

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