Rating

8.8/10
  • 1. Please give an overview of your role and what this involves on a day-to-day basis:
  • I work in the data science team. My role varies from writing code to analyse data, contributing to building a platform, or supporting users. I also work with no-code tools to modify data to gain insights for users. I write SQL and Python code to read data from a range of databases.

    9/10

  • 2. Have you learnt any new skills or developed existing skills?
  • Data analysis - especially Python and SQL Communication - communicating with tech/non-tech colleagues and adjusting my communication style accordingly Professionalism - including conflict management and leading meetings

    9/10

  • 3. To what extent do you enjoy your programme?
  • Very much. It's never a boring day at work. There's always something exciting to work on. Even if a task is not interesting to work on, it often contributes to something integral to clients or colleagues, giving me motivation throughout.

    9/10

  • 4. How well organised/structured is your programme?
  • I like the Year 1-2, Year 3, and Year 4 structure. I get regular communication from programme leaders, with direct communication being encouraged in between info sessions. The transition post the apprenticeship, however, could be made more clear.

    7/10

  • 5. How much support do you receive from your employer?
  • Plenty of support available, be it from colleagues, line manager, or programme mentors. No matter how simple or complex a question is, I can always find an answer in an open, welcoming environment.

    9/10

  • 6. How much support do you receive from your training provider when working towards your qualifications?
  • So much support, be it flexible learning, 1-1 sessions, or Q&A sessions. I also like group coaching throughout a module. Module briefs might also change depending on apprentice feedback if some aspects are hard to meet.

    9/10

  • 7. How well do you feel that your qualification (through your training provider) helps you to perform better in your role?
  • While not every module is directly linked to my role, I can apply various principle and techniques learnt to my day-to-day role. It sometimes requires some guidance from my mentors, but I can often apply what I learn easily on my own.

    9/10

  • 8. Are there extra-curricular activities to get involved in at your work? (For example, any social activities, sports teams, or even professional networking events.)
  • Yes, so many! Networking events with senior leaders are available. There are almost 50 sports, arts, and food clubs available to choose from too. Most events about a specific topic (e.g. AI, data governance, etc.) have a networking session afterwards.

    9/10

  • 9a. Would you recommend Barclays to a friend?
  • Yes


  • 9b. Why?
  • Great place to work. Flexible working, nice campus, higher-than-average compensation.


  • 10. What tips or advice would you give to others applying to Barclays?
  • Mindset and attitude over skills and qualifications!


Details

Degree Apprenticeship

Software Engineering, Data Analysis

Glasgow

April 2025


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