Data Engineer/Analyst
Jimmy Technologies
WorldwideremotePosted 13 days ago
J
Skill Required
Data-EngineerData-Ingestion-EngineerDocumentation-EngineerETL-EngineerData-AnalystData-Engineering-AnalystData-Analysis-EngineerAnalytics-EngineerEngineering-Data-AnalystData-Engineer-JobsBI-and-Analytics-EngineerData-Engineering-and-AnalyticsData EngineerData Analystdata engineeringEngineeringDatabricksSharePointautomationObservabilityanalyticssecuritybuildingTestNGPythondesignAzureCI/CDCloudRAGSQLAWSGitandCICDAIContract
Key highlights
- Long-term remote-first contract position for candidates based in Europe
- 5–10 years' experience in data engineering required
- Experience with AWS Textract or equivalent OCR tools required
- Focus on Anti-Financial Crime (fraud prevention, AML, KYC) and enterprise AI platforms
- Passion for turning unstructured documents into AI-ready data
- Work with leading financial institutions to fight financial crime with AI
Role overview
We are seeking a Senior Data / Ingestion Engineer to join 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. The role involves building robust ingestion pipelines for unstructured documents and integrating OCR and document extraction technologies to feed downstream RAG and AI models for a Dutch insurance client.
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.
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 (PDF, Word, Excel, PowerPoint, scans, emails).
- Experience building connectors to enterprise sources such as SharePoint and email.
- Practical experience with document extraction / OCR tools, e.g. AWS Textract or equivalent.
- Strong engineering practices: Git, CI/CD, automated testing.
- Python, SQL
- AWS: S3, Step Functions, CloudWatch
- OCR / document extraction: AWS Textract or equivalent
- Unstructured document processing and ingestion pipelines
- Git, CI/CD, testing
Nice to have
- Vector databases and RAG architectures
- Azure, Databricks
- Financial services / insurance domain experience
Additional details
- Start Date: ASAP
- Location: Remote within Europe (CEE preferred)
- Long-term contract-based role: until July 2027 with possible extension
- Contract with EU LCC