Information and Booking
Trainer: Corndel and 51³Ô¹ÏÍø College Executive Education
Cost: Course fees are fully funded by 51³Ô¹ÏÍø’s apprenticeship levy, and there is no cost to the individual or department. The standard cancellation policy will apply.
Duration: 20 months
Dates:
Starts: Launch event 23 June 2026
Book your place on a virtual briefing session.
Overview
The 51³Ô¹ÏÍø 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 51³Ô¹ÏÍø 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 51³Ô¹ÏÍø 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 51³Ô¹ÏÍø 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, Dev Ops 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 Maths and English at Level 2 (i.e., GCSE grade A* - C / 9 – 4 or equivalent). If you do not have this, you will have an opportunity to complete it as part of the programme.
- Have enough time remaining on your contract of employment to complete the programme (at least 20 months from the course start date).
- Meet around the Right to Work in the UK and residency.
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 51³Ô¹ÏÍø College Level 5 Data Engineer Diploma.