Data & Information Apprentice in London

Data & Information Apprentice in London

London Full-Time 26116 - 26738 Β£ / year (est.) No working from home possible
London and Quadrant Housing Trust

At a Glance

  • Tasks: Kickstart your career by learning data management and information skills.
  • Company: Join a values-driven organisation committed to your growth.
  • Benefits: Enjoy a fantastic pension plan, generous annual leave, and ongoing support.
  • Other info: Great opportunities for career progression within a dynamic environment.
  • Why this job: Launch your career with a supportive team and valuable experience.
  • Qualifications: No prior experience needed, just a passion for learning and development.

The predicted salary is between 26116 - 26738 Β£ per year.

The L&Q Early Talent Programme has been designed to help you get the career you have always wanted.

This role provides the opportunity to start a new career path with a values-led organisation that will support you to learn and develop throughout the programme and beyond.

Benefits include

Excellent pension plan (up to 6% double contribution), 28 days Annual Leave rising to 31 days with length of service +

Data & Information Apprentice in London employer: London and Quadrant Housing Trust

As a Flat Entrance Door Carpenter with our Fire Team, you will join a supportive and dynamic work culture that prioritises employee well-being and professional growth. With competitive salaries, a company van for business use, and the flexibility of working across London and its outskirts, we offer a unique opportunity to make a meaningful impact while enjoying a balanced work-life environment. Our commitment to training and development ensures that you can advance your skills and career within a thriving organisation.

London and Quadrant Housing Trust

Contact Details:

London and Quadrant Housing Trust Recruitment Team

We think you need these skills to ace Data & Information Apprentice in London

Communication Skills
Python
Problem-Solving Skills
Attention to Detail
SQL
Data Engineering
ETL/ELT Processes