Programme Overview
The Imperial College and Corndel Data Engineer Programme is a 18-month programme (including End Point Assessment), designed for experienced data professionals, aspiring data engineers, and future leaders in data strategy. It aims to develop advanced skills in data systems automation, cloud solutions, and analytics, alongside complementary human skills, to drive behaviour change and cultural transformation within your organisation.
Please note that our application process is geared towards organisations rather than individuals. We recommend connecting with your HR or L&D lead to explore how the apprenticeship levy can be used to enrol in this programme as part of a cohort.
Who is the Programme for?
Our programme is designed for experienced data professionals with foundational skills in Python and SQL, seeking to upskill and transition into a more specialised, technical role as a Data Engineer. Through this programme, individuals will gain advanced skills in data systems automation, cloud solutions, and analytics.
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 to fit your schedule
- One-to-one coaching provided by Corndel's Professional Development Experts (PDEs)
- Exclusive monthly masterclasses led by Imperial faculty
- Level 5 Data Engineer Apprenticeship
- Imperial College Executive Education Associate Alumni Status
Imperial Masterclasses
When you enrol in an Imperial College and Corndel apprenticeship programme, you gain exclusive access to monthly virtual masterclasses led by Imperial faculty. These are designed to enrich your learning experience by providing valuable insights and inspiration from world-leading experts, along with opportunities for interactive discussions.
While the topics vary each month, previous masterclasses have included:
- Game-Changing Technologies by Chris Tucci
- Introduction to Data Privacy by Yves-Alexandre de Montjoye
- Climate Finance Through a Data Lens by Marcin Kacperczyk
- Turning Data into Good Decisions by Ruth Misener
- Business Analytics: from Data to Decisions by Wolfram Wiesemann
Become 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.