Data Engineer – Python, SQL, Data Modelling, Analytics, Cloud, Azure, GCP, Insurance

Job title : Data Engineer – Python, SQL, Data Modelling, Analytics, Cloud, Azure, GCP, Insurance
Location : London
Job type : Permanent
Salary : £60000 - £70000 per annum
Sector : Insurance
Contact : Patrick Jordan
Call : 0207 280 9913
Email : email Patrick
Reference : BH-17804-1
Data Engineer – Python, SQL, Data Modelling, Analytics, Cloud, Azure, GCP, Insurance

My client, a leading Insurance Syndicate within the Lloyd's Market are currently looking for a Data Engineer to join their London based office on a permanent basis. 

They are looking for this key hire to sit within the underwriting team which predominately consists of Actuaries, Underwriters, Data Engineers and Data Scientists. They are looking for a candidate to come in and assist on the development and design of their new core portfolio underwriting system. You will be building and developing out existing data models coupled with maintaining their current ones. They are currently using Azure, but there is a plan to move to GCP moving forwards

This is a critical part of the business which requires candidates to come from an technical and analytical background, with previous experience in Insurance or Financial Services or being preferable.

To be successful in this role, you will need

- Strong experience using Python
- Previous Data Modelling experience 
- SQL
- Cloud exposure would be beneficial. 
- Insurance or Financial Services would be beneficial but absolutely not required. 

This is an extremely exciting opportunity for a candidate to join a leading syndicate, sitting in an highly visible team within the business to work on an essential underwriting project to allow further revenue generation. 

Cornwallis Elt is an Employment Agency & Employment Business and has been listed 3 times in The Sunday Times Virgin Fast Track 100 of the UK`s fastest growing private companies, as well as in the Recruitment International Top 250, Top 50 in IT and the Recruiter Fast 50 & Hot 100 reports.