Senior Python Data Engineer – OCR & Document Processing

🔥 16 hours ago

🌐 Portugal, Romania – Remote

🇵🇹 Portugal – Remote 🇷🇴 Romania – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Inetum

WebsiteLinkedInAll Job Openings

10,000+ employees

💼 Consulting

🏥 Healthcare

🛡️ Insurance

💰 Post-IPO Equity on 2007-03

Consulting • Healthcare • Insurance

Inetum is a European leader in digital services, providing technology consulting, solutions, and software innovation to businesses and public sector entities across 19 countries. With a workforce of 28,000 consultants, Inetum focuses on helping clients achieve digital transformation through a broad range of services, including consulting, software integration, and outsourcing, while prioritizing innovation, customer experience, and agility. Inetum partners with major software providers and offers solutions in vertical sectors like public sector, insurance, and healthcare. In 2023, Inetum achieved sales of 2. 5 billion euros, driven by its growth and scale ambitions.

📋 Description

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

🎯 Requirements

• 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, such as SharePoint • Experience with OCR and document extraction tools, such as 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 Git, CI/CD, and automated testing • 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