Senior Fullstack Engineer

Jimmy Technologies

. Inventory all internal and external data sources, including data flows, methods, and contracts .

Posted 10/30/2026contractRemote • CzechiaSenior💰 €35 - €41 per hourWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data engineering with a focus on building data processing and document ingestion pipelines, utilizing Python, SQL, and Databricks. Proficient in data modeling, version control, and CI/CD practices, with experience in the banking or insurance sectors.

Highest-signal resume keywords

Data EngineeringPythonSQLDatabricksData Modelling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ProcessingDocument Ingestion PipelinesData ContractsData FlowsData ModelsAutomated TestingVersion ControlCI/CDData TransformationOCR Technologies

Tools & Technologies

DatabricksSQL ServerMoody's GRIDCofaceAI Models

Industry Keywords

KYCAMLFraud PreventionInsuranceFinancial Services

Tech Stack

Tools & technologies

ASP.NETAzureDockerKubernetesPythonSQL.NET

About the role

Key responsibilities & impact

Inventory all internal and external data sources, including data flows, methods, and contracts
Define data contracts for canonical client data and screening results
Define data models for evidence, audit trails, and reporting
Build connectors to Moody's GRID, national registers, and local UBO data providers such as Coface
Connect Databricks with legacy databases, mainly SQL Server, and core systems
Build robust ingestion pipelines for unstructured insurance documents
Integrate OCR and document extraction technologies
Transform PDFs, scans, emails, and Office files into structured, high-quality, AI-ready data
Feed downstream RAG and AI models
Apply version control, CI/CD, and testing across the pipeline lifecycle
Support a Dutch insurance client through a consultancy focused on AI, automation, advanced analytics, fraud prevention, AML, KYC, and enterprise AI platforms

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
Strong engineering practices: Git, CI/CD, automated testing
Mandatory: Python
Mandatory: SQL
Mandatory: Databricks (Delta Lake, Unity Catalog)
Mandatory: SQL Server and integration with legacy databases
Mandatory: Data modelling and data contracts
Mandatory: Git, CI/CD, testing
Experience in banking or insurance is an advantage
Nice to have: KYC/UBO data experience
Nice to have: Working with data providers like Moody's, Dow Jones, LexisNexis, or Coface
Nice to have: Financial services / insurance domain experience
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-first work arrangement
Contract with EU LCC