logologo
Hunt UK Visa Sponsors
Jobs
logologoHunt UK Visa Sponsors

Find jobs from UK licensed visa sponsors — Companies House verified, updated daily.

About

How does it workContact Us

Find Work

JobsJobs by RoleRegister of Licensed SponsorsVisa TypesSponsor StatisticsInternational Student

Resources

BlogGlossaryOccupation EligibilityIncome Tax CalculatorILR TrackerDeveloper API & MCPSponsorship by Nationality

Content on this site is for general information only and does not constitute legal advice. Always consult a regulated UK immigration solicitor for advice specific to your situation.

Copyright © 2026. All rights reserved.

  1. Home
  2. Jobs
  3. PRACYVA
  4. Senior Data Engineer
PRACYVA

Senior Data Engineer

CompanyPRACYVA
Location
London Area, United Kingdom
Employment TypeFull-time
Posted At4/20/2026

UK Visa Sponsorship Analytics

Occupation TypeIT business analysts, architects and systems designers
Occupation Code Skill LevelHigher Skilled
Sponsorship Salary Threshold
£54,900 (£28.15 per hour)
Occupation rate applies

Above analytics are generated algorithmically based on job titles and may not always be the same as the company's job classification. You can also check detailed occupation eligibility, and salary criteria on our UK Visa Eligible Occupations & Salary Thresholds page.

Disclaimer: Hunt UK Visa Sponsors aggregates job listings from publicly available sources, such as search engines, to assist with your job hunting. We do not claim affiliation with PRACYVA. For the most up-to-date job details, please visit the official website by clicking "Apply Now."

Description

Key Responsibilities

Data Engineering

  • Design and implement cloud-based data platforms using medallion architecture (Bronze, Silver, Gold) patterns.
  • Build and optimise batch and real-time data pipelines supporting insurance use cases including:
  • Policy underwriting and pre-binding
  • Pricing and rating
  • Claims and loss analytics
  • Reinsurance and ceded reinsurance reporting
  • Delegated Authority bordereaux ingestion
  • Develop scalable data pipelines using Python and PySpark on Databricks or Snowflake.
  • Implement performant data ingestion from multiple sources including PAS, claims systems, broker platforms, third-party data providers, and market feeds.
  • Ensure robust data quality, reconciliation, lineage, and auditability aligned to regulatory and actuarial expectations within the London Market.