Data Engineer – Analyst

• 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
• Build automated workflows for text cleaning, normalisation, semantic chunking, and metadata tagging
• Design vector storage schemas and robust retrieval mechanisms (RAG) for downstream AI models
• Ensure document processing pipelines meet enterprise security and low-latency SLA requirements
• Build automated error monitoring and extraction validation loops for low-confidence OCR outputs
• Apply engineering best practices across the pipeline lifecycle, including version control, CI/CD, and testing
• Transform insurance documents into structured, high-quality, AI-ready data for downstream RAG and AI models
• Support delivery for a Dutch insurance client

• 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, including PDFs, Word, Excel, PowerPoint, scans, and emails
• Experience building connectors to enterprise sources such as SharePoint and email
• Practical experience with document extraction/OCR tools, such as AWS Textract or equivalent
• Strong engineering practices: Git, CI/CD, and automated testing
• Mandatory: Python and SQL
• Mandatory AWS experience: S3, Step Functions, and CloudWatch
• Experience with unstructured document processing and ingestion pipelines
• 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
• Candidates must be based in Europe
• Ability to start within 30 days

• Long-term contract position until July 2027 with possible extension
• Remote work within Europe (CEE preferred)