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Data Engineer


£85,000 Per Annum



Job Type




Job Reference


Job Description

The company’s origins date back to 2010 when its founders identified a huge niche in the global finance market and decided to pursue their dream of creating a service dedicated to lives of millions of people in the developing World. Today, it is a stable series C funded fin-tech business, with over 700 employees across 9 global locations and their technology is used in over 150 countries. And they are still growing.

You could become part of that journey and work as the Data Engineer (Python), helping to improve the platform moving towards a microservice architecture, focusing on continuous delivery, scalability and system resilience. The work is varied, from creating new products and features to improving existing functionality. The company strives to build a better customer experience and a better codebase. Stack involves Docker, Kubernetes, AWS, Microservices, CI, CD, TDD, Agile.

As the Python Developer you will be responsible or the following:

  • To maintain and improve the quality of the software and the documentation delivered by the team
  • To contribute to and/or lead software analysis, design and specification tasks for specific modules/functions.
  • Interact and contribute to agile planning and design sessions.
  • Initiate agile process improvements
  • Maintain code to company standards
  • Working in a microservices environment
  • Work as part of Code Peer Review community to improve the quality of software development

The Data Engineer will have the following attributes:

  • Experience building ETL pipelines in Python
  • Development in Microservices
  • ETL framework experience
  • Experience in AWS or other cloud experience
  • Experience working with Docker and other containerization technologies

This is a fantastic company to work for who are offering not only a great place to work but career scope to really progress your career further!


Please contact me on David AT Freshtechit for an instant interview.

Keywords: Python, ETL, AWS.


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