Data Engineer – Analyst

Job not on LinkedIn

🔥 1 hour ago

🇨🇿 Czechia – Remote

💵 €35 - €37 / hour

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 10%

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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Jimmy Technologies

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

📦 Logistics

🚘 Automotive

Consulting • Logistics • Automotive

Jimmy Technologies is a company specializing in providing technology solutions and innovations for the mobility industry. They focus on automotive, mobility, and fintech sectors, utilizing high-skilled development teams and proven business strategies to ensure innovative outcomes and rapid market entry. Their services include end-to-end product realization, cloud services, and technical consulting, emphasizing value-centric and outcome-driven approaches. With the implementation of their Jimmy Framework and Components, they enable cost-cutting and faster product launches, offering tailored solutions from pre-built modules developed in-house. By collaborating with clients from the initial idea to product launch, Jimmy Technologies aims to boost business efficiency and achieve significant revenue gains.

📋 Description

• 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, semantic chunking, and metadata tagging • Design vector storage schemas and robust retrieval mechanisms (RAG) for downstream AI models • Ensure document processing pipelines meet enterprise security and low-latency SLA requirements • Build automated error monitoring and extraction validation loops for low-confidence OCR outputs • Apply engineering best practices across the pipeline lifecycle, including version control, CI/CD, and testing • Transform insurance documents into structured, high-quality, AI-ready data for downstream RAG and AI models • Support delivery for a Dutch insurance client

🎯 Requirements

• 5–10 years' experience in data engineering • Proven experience building data processing and document ingestion pipelines on public cloud platforms • Hands-on experience processing unstructured documents, including PDFs, Word, Excel, PowerPoint, scans, and emails • Experience building connectors to enterprise sources such as SharePoint and email • Practical experience with document extraction/OCR tools, such as AWS Textract or equivalent • Strong engineering practices: Git, CI/CD, and automated testing • Mandatory: Python and SQL • Mandatory AWS experience: S3, Step Functions, and CloudWatch • Experience with unstructured document processing and ingestion pipelines • Experience in banking or insurance is an advantage • Nice to have: vector databases and RAG architectures • Nice to have: Azure and Databricks • Nice to have: financial services/insurance domain experience • Candidates must be based in Europe • Ability to start within 30 days

🏖️ Benefits

• Long-term contract position until July 2027 with possible extension • Remote work within Europe (CEE preferred)