Connecting to LinkedIn...

Python Developer Data API Cloud ETL

Job Title: Python Developer Data API Cloud ETL
Contract Type: Permanent
Location: London, England
Salary: £55000 - £70000 per annum + benefits
REF: BB/16976/B/AT/140921_1631612216
Contact Name: Data Team
Contact Email:
Job Published: 8 months ago

Job Description

Python Developer / Data Engineer (Cloud AWS Azure Docker Kubernetes). Disruptive, Machine Learning driven InsurTech company is seeking a Python Developer / Data Engineer to join their growing team. You'll be working on robust, well written software within a company that is very proud of their infrastructure and have a well-engineered data platform with little technical debt. You'll be working alongside a small, friendly team of highly intelligent engineers where you'll have a lot of opportunity to learn and grow.

The company have created an ML driven API product that sits between insurance companies and price comparison websites to give real-time, competitive insights.

As a Python Developer / Data Engineer you'll be writing scalable APIs whilst working on data lakes and ETL pipelines utilising a range of technologies such as Python, AWS, Kubernetes and Docker. Some of your responsibilities will include; supporting and running the real-time analytics platform, contributing to the data pipeline and designing and implementing scalable infrastructure for data ingestion and analytics.

The company is based in London however you have the option to work from home up to 4 days a week.

*Experience working as a Python Developer producing scalable code and APIs
*Good knowledge of Cloud technologies such as AWS (ideally have or have a desire to learn), Azure and GCP
*Data driven and experience with data lakes building ETL pipelines (or a desire to work with data)
*Containerisation experience (Kubernetes or Docker)
*Excellent communication and collaboration skills

As a Python Developer / Data Engineer you can expect to earn a competitive salary (up to £70k) plus benefits.

Apply today or call to have a confidential discussion about this Python Developer / Data Engineer role.