[Hiring] Senior Data & Document Ingestion Engineer @Gramian Consulting Group

Role Description

Our client is a Big4 Consultancy group that works with leading financial institutions on AI-driven transformation, automation, advanced analytics, and financial crime prevention. Their work spans intelligent fraud detection, AML/KYC modernization, autonomous workflows, enterprise AI platforms, and the secure industrialization of AI in highly regulated environments.

We are looking for a Senior Data & Document Ingestion Engineer to build robust pipelines for processing high-volume unstructured insurance content. The role focuses on:

• OCR
• Document parsing
• Ingestion pipelines
• Text normalization
• Semantic chunking
• Metadata extraction
• Retrieval-ready data preparation for downstream AI systems

CONTRACT: Contractor assignment, expected October 2026 – July 2027, with potential extension

COMMITMENT: Full-time

LOCATIONS: Europe-based, preferably CEE; remote, with potential future hybrid work in Prague

PROCESS: Initial qualification followed by technical and client interviews

NOTES: Fluent English is required. Strong AWS experience is highly preferred.

Qualifications

• Approximately 5–10 years of professional data engineering or backend/data-platform experience
• Strong hands-on experience with Python and SQL
• Proven experience building data ingestion and document-processing pipelines
• Hands-on experience processing unstructured documents such as PDF, Word, Excel, PPT, scans, or emails
• Experience with OCR/document extraction tools such as AWS Textract or equivalent
• Professional experience building data-processing pipelines on public cloud platforms
• Experience with AWS services such as S3, Step Functions, and CloudWatch, or comparable cloud services
• Strong development practices including Git, CI/CD, and automated testing

Requirements

• Design and build scalable document ingestion pipelines for PDFs, scans, emails, and office documents
• Integrate and optimize OCR and document extraction technologies for high-accuracy text and layout extraction
• Build workflows for text cleaning, normalization, semantic chunking, and metadata tagging
• Process unstructured formats including PDF, Word, Excel, and PowerPoint
• Develop connectors for enterprise sources such as SharePoint and email systems
• Design data schemas and retrieval mechanisms for downstream AI and RAG use cases
• Build validation and monitoring loops to detect low-confidence OCR or extraction results
• Ensure ingestion pipelines meet enterprise security, reliability, and latency requirements
• Implement logging, testing, and operational monitoring across data-processing workflows
• Apply Git, CI/CD, and software-engineering best practices to pipeline development

Preferred Qualifications

• Experience with Azure, AWS, or Databricks in enterprise data environments
• Experience with vector databases, embeddings, or RAG architectures
• Experience designing connectors to SharePoint, email, or other enterprise content systems
• Background in insurance, financial services, or regulated-data environments