• Location: London, England
  • Salary: £65000 - £75000 per annum + Bonus + Benefits
  • Technology: Microsoft Azure Jobs
  • Job Type: Permanent
  • Date Posted: 12th Mar, 2020
  • Reference: C120320B

Data Engineer - Finance - Advanced Analytics


Bank / Fenchurch Street
£70,000 + bonus + benefits
Hadoop, Spark, Python / Java / Scala


This global provider of insurance products are looking to add a strong Data Engineer to join their finance function. Working closely with other areas of the business (Underwriters and Actuaries), you will be provided with excellent opportunities for growth and expansion, including a sponsored programme aimed directly at growing you as a Data Engineer and progressing your career.


The large volumes of data you will be working on comes from a variety of sources - whether that be customer and marketing analytics, internal, external, data scraped from online sources, current customers and their policies or even data that has been bought. This wide variety of data provides you with an ever changing workplace and a constant flow of work to get stuck in to, with the chance to work on both structured and unstructured data.


The team currently works closely with the Data Scientists but there is a plan in place to create two teams in the near future. This split will create an increased learning environment as a Data Engineer and allow you to work much closer together as a Data Engineering unit, developing solutions that will have a direct impact on the business.


Key requirements for the role:
- Embedding data solutions
- End to end data pipelines, data pipeline maintenance and Architecture (data delivery / ETL experience required)
- Experience in implementing Machine Learning models in Data Engineering
- Hadoop (other distributed environments) and Spark to run distributed jobs
- Programming language experience across any of Python, Scala, Java


This organisation are currently moving much of their data from on-prem on to Azure Cloud, so any experience setting up and configuring environments both on-prem and on Cloud (Azure or AWS) is seen as an added advantage for the role. If you see yourself as somebody who takes a pride in their work and you are keen to take ownership and projects and actually see the impact of your work on an organisation that apply today to get your application started.


Contact: Iain Moncaster - Data Engineering and Analytics, London
Telephone: 0191 338 6631
LinkedIn: https://www.linkedin.com/in/iain-moncaster-bb5233159/