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Senior Data Engineer

Jimmy Technologies

Role overview

Qualifications

  • Deep experience in building robust ingestion pipelines
  • Experience with OCR and document extraction technologies
  • Knowledge of document processing for unstructured data
  • Familiarity with AI-ready data preparation

Responsibilities

  • Design and implement scalable pipelines for ingesting high-volume unstructured insurance documents
  • Build connectors to document sources such as SharePoint and email
  • Integrate, configure, and optimise OCR and document parsing technologies
  • Build automated workflows for text cleaning, normalisation, and metadata tagging

Key facts

Hard skills

Other skills

  • Problem Solving

About the company

Jimmy Technologies logo

Jimmy Technologies

Computer Software / SaaS

INNOVATE. ELEVATE. NAVIGATE. Jimmy Tech is a cutting-edge product innovation & consulting studio in the digital landscape. Innovate: We specialize in crafting innovative business ideas and products through forward-thinking strategies and a highly specialized team. Elevate: Empowering businesses to stand out, we provide strategic guidance to create novel products and services, validate your ideas, and transform concepts into successful ventures. Navigate: Defining the future of technology, we go beyond common experiences, fine-tuning every detail to ensure our revolutionary products set the standard in the industry. YOUR GAINS WITH US: • Expertise in key industries Our forte lies in specialized sectors: automotive, mobility, fintech. Our industry expertise isn’t just a tagline; it’s a promise of added value. We understand the innovations, successful business strategies, users, nuances, and regulations within these sectors, giving your product or business an unmatched advantage. • You have the power every step of the way We don’t just work for you; we work with you. At Jimmy Technologies, client involvement is embedded in our process. We believe in transparent collaboration, ensuring your vision aligns seamlessly with our technical skills and guidance. • High quality Value and efficiency (Jimmy Framework) We don’t settle for the ordinary. Our advanced processes redefine how Jimmy's teams collaborate, communicate, and create. From requirement definition to testing and automation, our streamlined methods guarantee quality, efficiency, and innovation at every turn. • Cut the costs & launch faster than others Innovation meets efficiency with our unique Jimmy Components. These pre-developed templates and features, tailored to industry standards, save time and resources without compromising quality. Your project gets a head start without sacrificing customization – every line of code belongs to you.

Company details

Company typeStartup
IndustryComputer Software / SaaS
Company size11 - 50

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Job description

We are looking for a Senior Data / Ingestion Engineer for our client, a consultancy that helps banks and insurers transform their operations through AI, automation, and advanced analytics, with a strong focus on Anti-Financial Crime (fraud prevention, AML, KYC) and enterprise AI platforms. You will join their delivery for a Dutch insurance client.

We're looking for an engineer with deep experience building robust ingestion pipelines for unstructured documents and integrating OCR and document extraction technologies. You will turn high volumes of insurance documents (PDFs, scans, emails, Office files) into structured, high-quality, AI-ready data that feeds downstream RAG and AI models.

This is a long-term remote-first contract position for candidates based in Europe.

Responsibilities

  • Design and implement scalable pipelines for ingesting high-volume unstructured insurance documents (PDFs, scans, emails, Word, Excel, PowerPoint).

  • Build connectors to document sources such as SharePoint and email.

  • Integrate, configure, and optimise OCR and document parsing technologies to extract high-accuracy text and layouts.

  • Build automated workflows for text cleaning, normalisation, semantic chunking, and metadata tagging.

  • Design vector storage schemas and robust retrieval mechanisms (RAG) to feed downstream AI models.

  • Ensure document processing pipelines meet enterprise security and low-latency SLA requirements.

  • Build automated error monitoring and extraction validation loops that flag low-confidence OCR outputs.

  • Apply engineering best practices across the pipeline lifecycle: version control, CI/CD, and testing.

Work Conditions

  • Start Date: ASAP

  • Location: Remote within Europe (CEE preferred)

  • Long-term contract-based role: until July 2027 with possible extension

  • Contract with EU LCC

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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