Senior Data Engineer

• Design and implement scalable pipelines for ingesting high-volume unstructured insurance documents
• Build connectors to document sources such as SharePoint and email
• Integrate, configure, and optimise OCR and document parsing technologies to extract high-accuracy text and layouts
• Build automated workflows for text cleaning, normalisation, semantic chunking, and metadata tagging
• Design vector storage schemas and robust retrieval mechanisms (RAG) to feed downstream AI models
• Ensure document processing pipelines meet enterprise security and low-latency SLA requirements
• Build automated error monitoring and extraction validation loops that flag low-confidence OCR outputs
• Apply engineering best practices across the pipeline lifecycle, including version control, CI/CD, and testing
• Turn high volumes of insurance documents into structured, high-quality, AI-ready data for downstream RAG and AI models
• Support a Dutch insurance client through a consultancy focused on AI, automation, advanced analytics, and anti-financial crime

• 5–10 years' experience in data engineering
• Proven experience building data processing and document ingestion pipelines on public cloud platforms
• Hands-on experience processing unstructured documents (PDF, Word, Excel, PowerPoint, scans, emails)
• Experience building connectors to enterprise sources such as SharePoint and email
• Practical experience with document extraction / OCR tools, e.g. AWS Textract or equivalent
• Strong engineering practices: Git, CI/CD, automated testing
• Mandatory: Python and SQL
• Mandatory AWS: S3, Step Functions, CloudWatch
• Mandatory OCR / document extraction: AWS Textract or equivalent
• Mandatory unstructured document processing and ingestion pipelines
• Mandatory Git, CI/CD, testing
• Experience in banking or insurance is an advantage
• Nice to have: Vector databases and RAG architectures
• Nice to have: Azure and Databricks
• Nice to have: Financial services / insurance domain experience
• Based in Europe; candidates in CEE preferred
• Ability to start within 30 days

• Long-term remote-first contract position
• Contract through July 2027 with possible extension
• Remote within Europe (CEE preferred)