Information and Booking
Trainer: Corndel and ³Ô¹ÏºÚÁÏ College Executive & Professional Education
Cost: The course fee of £19,000 is fully funded by ³Ô¹ÏºÚÁÏ’s Growth and Skills Levy, and there is no cost to the individual or department. The standard cancellation policy will apply.
Duration: 20 months
Starts: Launch event 22 June 2027
Book your place on the virtual briefing session on Tuesday 9 March 2027.
Overview
The ³Ô¹ÏºÚÁÏ and Corndel Data Engineer Programme is one of four Data Academy courses, designed to equip staff with the digital skills and technical proficiency needed to succeed in their current work roles. This programme is available to ³Ô¹ÏºÚÁÏ staff who already have a strong data analytics foundation and want to develop more specialised knowledge and skills in data engineering. The course will:
- Develop skills in building and optimising data pipelines.
- Provide knowledge in managing various data storage solutions and processing data in different formats.
- Develop a foundational understanding of key analytics techniques.
- Enable you to clearly communicate complex data engineering concepts to diverse audiences.
Delivered over twenty months through blended learning, this course includes sixteen hands-on workshops with expert data engineers, monthly 1-1 sessions with a coach, world-class interactive eLearning, and practical exercises involving data engineering tools. You will also attend a masterclass programme delivered by ³Ô¹ÏºÚÁÏ College academics and learn about the analytics and technologies that are rapidly coming over the horizon to impact how you do your job.
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The programme is available to ³Ô¹ÏºÚÁÏ staff from any job family or department with good data analytics skills and experience in Python and SQL.
Examples of job titles might include Data Analyst, Data Scientist, IT Support Technician, Systems Administrator, Software Developer, DevOps Engineer, and Database Administrator.
Your role will require you to work with large amounts of data, and you will be looking to upskill your technical expertise and become more specialised.
Applicants should:
- Have good data analytics skills and knowledge of Python and SQL.
- Work with large datasets on a daily basis.
- Have approval from your line manager.
- Commit to the minimum learning requirement (approximately 6 hours per week).
- Have the right to work in the UK for the full duration of your programme and an eligible residency status (please refer to in the Apprenticeship Funding Rules for further information).
- Have enough time remaining on your contract of employment to complete the programme (at least 20 months from the course start date).
- Not be receiving any other direct/indirect funding from the Department for Education (e.g. student finance).
The programme is fully aligned with the apprenticeship standard, and participants will cover units on:
- Data Engineering in your organisation.
- Data engineering fundamentals, including Advanced SQL.
- Collaboration & requirements gathering.
- Data pipelines and data quality, including Advanced Python.
- Automating data pipelines.
- Data security and governance.
- Software development best practices.
- Unstructured data and AI.
- Delivering into production.
On successful completion, participants will gain the apprenticeship standard, a nationally recognised qualification, and the Corndel and ³Ô¹ÏºÚÁÏ College Level 5 Data Engineer Diploma.