[Hiring] Senior Python Data Engineer @Inetum

Role Description

Design, build, and optimize scalable data ingestion and document processing solutions that transform large volumes of unstructured insurance data into structured, AI-ready information. Enable downstream AI and retrieval systems by leveraging OCR, document intelligence, vector databases, and cloud-native data pipelines.

• Design and implement scalable data ingestion pipelines for processing high volumes of unstructured documents, including PDFs, scans, emails, and Office files.
• Integrate, configure, and optimize OCR and document extraction technologies to maximize text extraction accuracy and document understanding.
• Build automated workflows for document parsing, text cleaning, normalization, semantic chunking, and metadata enrichment.
• Develop connectors and integrations for document sources such as SharePoint, email systems, and enterprise repositories.
• Design and maintain vector database schemas and retrieval mechanisms to support Retrieval-Augmented Generation (RAG) solutions and AI applications.
• Ensure document processing pipelines meet enterprise security, compliance, performance, and availability requirements.
• Implement monitoring, validation, and quality-control mechanisms to identify and manage low-confidence OCR and extraction results.
• Optimize data processing workflows for scalability, reliability, and low-latency operations.
• Collaborate with AI Engineers, Backend Engineers, and Platform teams to deliver end-to-end AI-powered document processing solutions.
• Develop and maintain cloud-native data ingestion solutions on public cloud platforms.

Qualifications

• 5-10 years of experience in Data Engineering, Data Processing, Document Intelligence, or related fields.
• Proven experience building scalable data ingestion and processing pipelines.
• Experience working with large volumes of unstructured and semi-structured data.
• Experience designing cloud-based data solutions.
• Strong programming skills in Python.
• Strong SQL knowledge.
• Hands-on experience with AWS services, including S3, Step Functions, and CloudWatch.
• Experience processing unstructured documents such as PDF, Word, Excel, PowerPoint, and email content.
• Experience building connectors and integrations with enterprise content repositories (e.g., SharePoint).
• Experience with OCR and document extraction tools (AWS Textract or equivalent).
• Experience designing and implementing data ingestion and transformation pipelines.
• Familiarity with vector databases and Retrieval-Augmented Generation (RAG) concepts.
• Experience with software development best practices: Git, CI/CD, and automated testing.

Requirements

• Experience with Vector Databases.
• Experience with RAG architectures and AI/LLM-based applications.
• Experience with Azure cloud services.
• Experience with Databricks.
• Experience in Insurance, Banking, or other regulated industries.

Benefits

• Full access to foreign language learning platform.
• Personalized access to tech learning platforms.
• Tailored workshops and trainings to sustain your growth.
• Medical insurance.
• Meal tickets.
• Monthly budget to allocate on flexible benefit platform.
• Access to 7 Card services.
• Wellbeing activities and gatherings.