About The Role

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 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.

Responsibilities

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.

Requirements

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 .

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.