Senior Data Engineer
Jimmy Technologies
WorldwideremotePosted 15 days ago
J
Skill Required
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Key highlights
- Level Required: 5–10 years' experience in data engineering.
- Key benefit: Remote work within Europe (CEE preferred).
- Notable requirement: Experience with AWS Textract or equivalent OCR tool.
- Benefit: Long-term contract until July 2027 with possible extension.
- Benefit: Contract under EU LCC.
- Requirement: Proficiency in Python and SQL.
Role overview
We are looking for a Senior Data / Ingestion Engineer for 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. The role involves building robust ingestion pipelines for unstructured documents, integrating OCR and document extraction technologies, and turning high volumes of insurance documents into structured, AI-ready data for downstream RAG and AI models. This is a long-term remote-first contract position for candidates based in Europe.
Responsibilities
- You will join their delivery for a Dutch insurance client.
- 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.
- 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.
- Deep experience building robust ingestion pipelines for unstructured documents and integrating OCR and document extraction technologies.
- 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
- Experience in banking or insurance is an advantage.
- Vector databases and RAG architectures
- Azure, Databricks
- Financial services / insurance domain experience
Benefits
- Long-term remote-first contract position for candidates based in Europe.
- Start Date: ASAP
- Location: Remote within Europe (CEE preferred)
- Long-term contract-based role: until July 2027 with possible extension
- Contract with EU LCC
Additional details
- If you are passionate about turning unstructured documents into AI-ready data, and want to help leading financial institutions fight financial crime with AI, this role is for you!
- Originally posted on Himalayas