Senior Fullstack Engineer

This is a fully remote position, open to applicants in Czechia.

📋 Description

• Catalog all internal and external data sources, encompassing data flows, methodologies, and agreements.

• Establish data contracts for standardized client data and screening outcomes.

• Develop data models for evidence, audit trails, and reporting purposes.

• Create connectors to Moody's GRID, national registries, and local UBO data suppliers such as Coface.

• Link Databricks with legacy databases, primarily SQL Server, and core systems.

• Construct reliable ingestion pipelines for unstructured insurance documents.

• Incorporate OCR and document extraction technologies.

• Convert PDFs, scans, emails, and Office files into structured, high-quality, AI-ready data.

• Supply downstream RAG and AI models.

• Implement version control, CI/CD, and testing throughout the pipeline lifecycle.

• Assist a Dutch insurance client through consultancy focused on AI, automation, advanced analytics, fraud prevention, AML, KYC, and enterprise AI platforms.

⛳️ Requirements

• 5–10 years of experience in data engineering.

• Demonstrated experience in building data processing and document ingestion pipelines on public cloud platforms.

• Strong engineering practices: Git, CI/CD, automated testing.

• Required: Python.

• Required: SQL.

• Required: Databricks (Delta Lake, Unity Catalog).

• Required: SQL Server and integration with legacy databases.

• Required: Data modeling and data contracts.

• Required: Git, CI/CD, testing.

• Experience in banking or insurance is a plus.

• Preferred: KYC/UBO data experience.

• Preferred: Working with data providers such as Moody's, Dow Jones, LexisNexis, or Coface.

• Preferred: Experience in the financial services/insurance domain.

• Must reside in Europe.

• Ability to commence work within 30 days.

🏝️ Benefits

• Long-term contract position lasting until July 2027, with the potential for extension.

• Remote-first work setup.

• Contract with EU LCC.