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Gramian Consulting Group

Senior Data & Document Ingestion Engineer (OCR / RAG) - REMOTE

LocationHungary
Work moderemote
Typecontract
DepartmentTalent Solutions
Company size11+ people
First seen1w ago
Last seen1d ago
About Gramian
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
About the Role
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, and retrieval-ready data preparation for downstream AI systems.
CONTRACT: Contractor assignment, expected October 2026 – July 2027, with extension to other projects (and retention rate)
COMMITMENT: Full-time
LOCATIONS: REMOTE 100%, Europe-based
PROCESS: Initial qualification followed by technical and client interviews
NOTES: Fluent English is required. Must be able to work in EU.
Responsibilities
•
Design and build scalable document ingestion pipelines for PDFs, scans, emails, and office documents.
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Integrate and optimize OCR and document extraction technologies for high-accuracy text and layout extraction.
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Build workflows for text cleaning, normalization, semantic chunking, and metadata tagging.
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Process unstructured formats including PDF, Word, Excel, and PowerPoint.
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Develop connectors for enterprise sources such as SharePoint and email systems.
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Design data schemas and retrieval mechanisms for downstream AI and RAG use cases.
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Build validation and monitoring loops to detect low-confidence OCR or extraction results.
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Ensure ingestion pipelines meet enterprise security, reliability, and latency requirements.
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Implement logging, testing, and operational monitoring across data-processing workflows.
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Apply Git, CI/CD, and software-engineering best practices to pipeline development.
Requirements
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Approximately 5–10 years of professional data engineering or backend/data-platform experience.
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Strong hands-on experience with Python and SQL.
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Proven experience building data ingestion and document-processing pipelines.
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Hands-on experience processing unstructured documents such as PDF, Word, Excel, PPT, scans, or emails.
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Experience with OCR/document extraction tools such as AWS Textract or equivalent.
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Professional experience building data-processing pipelines on public cloud platforms.
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Experience with AWS services such as S3, Step Functions, and CloudWatch, or comparable cloud services.
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Strong development practices including Git, CI/CD, and automated testing.
Preferred Qualifications
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Experience with Azure, AWS, or Databricks in enterprise data environments.
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Experience with vector databases, embeddings, or RAG architectures.
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Experience designing connectors to SharePoint, email, or other enterprise content systems.
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Background in insurance, financial services, or regulated-data environments.
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