Software Engineering Apprentice

Recruiter
Starling Fs Services Ltd
Location
3rd Floor, 2, Finsbury Avenue, London, EC2M 2PP
Salary
£28,000.00 annually
Posted
09 Feb 2021
Closes
08 Apr 2021
Ref
VAC001681048
Specialism
IT
Sector
Technology
Role Type
Apprenticeship, Higher
Start Date
April
Duration
Permanent
  • There is no typical day. They do stand-ups daily but don't follow a prescribed methodology for sprints etc.
  • You will be placed in a team and could be working on any manner of things from our internal customer-facing portal, to credit, to fraud, to payment operations, to app development.
  • They use Java on the backend, Native for iOS and Android (Swift and Kotlin), Javascript/React Redux on the front end for web work.
  • Everyone at Starling gets the chance to own interesting things from day one. You will be given ability to achieve a lot in a short space of time.


Requirements and prospects

Desired skills

  • All that they ask is that you are a skilled, caring, passionate engineer!
  • They want to hear from people who love building things, creating new stuff, learning new technologies and skills


Personal qualities

  • You'll have made some headway learning to code and have worked on some projects of your own that you're proud of.
  • Starling will be interested to hear about what you've achieved but the main thing is that you're motivated, driven to learn, analytical and have an interest in what we're doing and how you can be part of it!


Desired qualifications

  • Five GCSE grades C - A* (4-9) or equivalent, including English and maths
  • Level 3 qualification (A level, BTEC or equivalent)
  • Three months' prior coding experience


Future prospects

After your Software Engineering apprenticeship, you can progress into a junior developer role (this includes web and app development). You'll have the skills to continue growing within a tech team, and have enough knowledge/experience to pick up new languages with ease. Software Engineering Level 4 will also provide a good foundation for transitioning into data science.

Things to consider

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