Data Engineer – Analyst

Jimmy Technologies

. Design and implement scalable pipelines for ingesting high-volume unstructured insurance documents .

Posted 10/9/2026contractRemote • CzechiaMid-LevelSenior💰 €35 - €38 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing scalable data processing pipelines for unstructured insurance documents, utilizing Python, SQL, and AWS technologies. Proficient in applying engineering best practices, including CI/CD and automated testing, to ensure high-quality, AI-ready data transformation.

Highest-signal resume keywords

Data EngineeringDocument Ingestion PipelinesPythonAWS S3OCR Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ProcessingDocument IngestionPythonSQLOCR TechnologiesVersion ControlCI/CDAutomated TestingVector DatabasesRAG Architectures

Tools & Technologies

AWS TextractSharePointCloudWatchStep FunctionsDatabricks

Industry Keywords

InsuranceFinancial ServicesUnstructured DocumentsDocument ProcessingEnterprise Security

Tech Stack

Tools & technologies

AWSAzureCloudPythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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