Data Observatory

Programme Overview

The Data Engineer Programme is a 16-month programme (+ End Point Assessment), designed for aspiring data engineers and future leaders in data strategy.

The collaboration between Imperial College Business School and Corndel combines academic excellence with personalised coaching, providing a unique blend of business school thinking and practical skills. Join us for a transformative journey, integrating world-class education with tailored mentoring through Corndel's renowned coaching model.

Who is the Programme for?

Our programme is designed for data professionals with foundational skills in Python and SQL, seeking to upskill and transition into a more specialised role as a Data Engineer. Through this programme, individuals will gain advanced skills in data systems automation, cloud solutions, and analytics.

Please note that our application process is geared towards organisations rather than individuals. We recommend reaching out to your HR team to explore the possibility of using the apprenticeship levy to enrol in one of our programmes as part of a cohort. By collaborating directly with organisations, we aim to create a collective learning experience that benefits both the organisation and its members.

Business Impact

This programme aims to:

  • Automate data handling.
  • Improve adaptability to different data needs.
  • Improve communication of complex concepts.
  • Enhance insight-led decision making.
  • Maximise risk mitigation.
  • Optimise data pipelines.

Our Offer

  • Flexible, blended delivery model
  • Personalised one-to-one coaching and mentoring
  • Group learning sessions
  • Virtual masterclasses led by Imperial College faculty
  • Level 5 Data Engineer Apprenticeship
  • Imperial College Executive Education Associate Alumni Status

Imperial Masterclasses

As part of our partnership with Corndel, learners benefit from exclusive access to virtual masterclasses led by Imperial faculty. These individually designed sessions elevate the apprenticeship journey by going beyond the core curriculum and providing inspirational insights from leaders in their respective fields.

While specific sessions may vary, some examples of previously delivered masterclasses include:

  • Responsible Leadership by Celia Moore
  • Adaptive Decision Making by Camelia Ram
  • Business Analytics: from Data to Decisions by Wolfram Wiesemann
  • Leading in a Technology Driven World by Sankalp Chaturvedi
  • Understanding the Sources of Value in a Digital World by Chris Tucci

Become an Associate Alumni

Take your partnership with Imperial College Business School to the next level by becoming an Associate Alumni. Complete one of our Executive Education programmes (apprenticeship, online, on-campus, or virtual) to earn 'Associate Alumni' status and join our dynamic alumni community.