NCFE Level 5 Diploma: Data Engineer

Recognised Qualification

Includes:
Data Engineering Fundamentals, Data Modelling, Databases, SQL, Python, Data Pipelines, ETL Processes, Data Warehousing, Big Data Concepts, Data Quality and Governance

Build practical data‑engineering skills with our Intensive face‑to‑face Higher Technical Qualification Data Engineer programme, delivered in a hybrid learning format. This course covers core data‑engineering concepts, including data modelling, databases, SQL, Python programming, ETL processes, and data pipeline development. Learners develop hands‑on skills to design, build and maintain reliable data infrastructures that support analytics, reporting and business decision‑making. Ideal for beginners and professionals looking to upskill, this course equips learners with the technical foundations required for data engineering and data‑focused roles.

about the course

Learning Outcomes

1. Apply core data engineering principles to design and manage data systems that support organisational and analytical needs.
2. Design, implement and maintain data structures and databases, using appropriate data models and technologies.
3. Develop and manage data pipelines, including extract, transform and load (ETL) processes for structured and unstructured data sources.
4. Use SQL and programming tools such as Python to query, process and manage data efficiently.
5. Implement data integration and processing workflows to ensure data is accessible, reliable and fit for purpose.
6. Apply data quality, governance and security principles to protect data integrity and ensure compliance with organisational and regulatory requirements.
7. Work professionally within data engineering roles, demonstrating effective problem‑solving, communication and collaboration skills.
Skills you will acquire

1. Data engineering concepts and principles
2. Data modelling and schema design
3. Relational and non‑relational databases
4. Fundamentals of SQL for data querying and management
5. Python programming for data engineering tasks
6. Data pipeline design and development
7. Extract, Transform and Load (ETL) processes
8. Data integration from multiple sources
9. Data quality management and validation techniques
10. Data warehousing concepts and architectures
11. Data governance, security and compliance principles
12. Use of data engineering tools and technologies
Course Details

Mode: Hybrid
Teaching Duration: 9 months
Lecture: Online (1 day)
Seminar: On campus (1 day)
Course Materials: Provided

Seminar Campus:
London Metropolitan University, Holloway Campus,
166-220 Holloway Rd,
London N7 8DB

Intensity
The course is intensive and requires 100% attendance and dedication. A lot of exercise for you to do during the course, with guidance and feedback from your tutor.

Live datasets
You will work with live datasets, which will give you the experience and the skills needed to succeed.

Support

Academic Support

We are deeply committed to supporting our students every step of the way. From the moment you begin your learning journey, our dedicated team is here to provide guidance, resources, and assistance tailored to your needs.

Guidance on course content and assessments.
Study resources and tutorials.
Access to subject matter experts for Q&A.

Wellbeing & Pastoral Support

We prioritise the well-being of our learners by offering access to mental health resources and referrals to professional services when needed. To help maintain a healthy work-life balance, we offer flexible learning options that cater to individual circumstances.

Flexible learning options for work-life balance.
Support for learners with disabilities or special needs.
Mental health resources and referrals.

Career & Professional Development

Our dedicated ACE (Academic, Career & Employability) team provides support to help you succeed beyond the classroom. Our services include CV and LinkedIn profile reviews, interview preparation, and job application guidance.

CV and LinkedIn profile thoughts.
Interview preparation and job application tips.
Networking opportunities with industry professionals.

Industry Engagement

We believe in bridging the gap between education and the real world. Our programmes include employer-led workshops designed to provide insights and current industry trends.

Employer-led workshops and webinars.
Mentorship programs with industry experts.
Access to real-world projects and case studies.

For any queries, fill in the form below to get in touch.

2 - 2.5 days per week
30 weeks
Tutor Led
Support
Start: Sept 2027
Fee: £6,500

Programme details

Junior Data Engineer
Data Engineering
Data Engineer

Possible Careers

Aligned with Government digital skills standards and the SFIA framework, this Higher Technical Qualification (HTQ) is designed to ensure you develop the technical and professional skills required by today’s data‑driven employers. Learning outcomes and assessments are mapped to recognised digital capability frameworks, helping you build practical, job‑ready skills with confidence. Assessment is practical and job‑focused, designed to reflect real workplace scenarios. You’ll complete hands‑on tasks using realistic datasets, build a professional portfolio, and practise communicating insights to stakeholders — giving you the confidence and experience employers look for in data analyst roles.

Real World Focus & Assessment

Finance - We are here to help.

Payment & Discount

1. A discount of £40 on all CPD programmes if payment is made in full.

2. A discount of £300 on all our Online Bootcamp programmes(10 weeks or more) if payment is paid in full before the start of the programme.
3. All programmes under £500 must be paid in full before the beginning of the programme.
4. All payments should be made directly to the School’s account and not to any third party.
Instalment Plan

1. A deposit of £600 is to be paid on all Online Bootcamp programmes(10 weeks or more), and the remaining can be split into 4 instalments.
2. A deposit of £1000 is to be paid on the Intensive Bootcamp programmes, and the remaining is to be paid in 4 instalments or less.
3. There is no interest in any instalment plan.
4. All payments should be made directly to the School’s account and not to any third party.
Employer support

1. Check what support your organisation provides for career development (CPD).
2. Discuss your career development plan and how much your employer would like to contribute towards your fees.
3. Liaise with Cavillion to pay the remaining amount in instalments.

Why choose Cavillion?

Interactive class

Learn from Cavillion's industry-expert instructors through real-time, interactive lectures in an engaging face-to-face or online classroom environment.
Earn More

Developers & Data Scientists are among the top earners in the country. Our courses can help you get your dream job with flexibility and a better salary.
Feedback

Our highly experienced tutors are committed and will provide you with guidance and feedback on your work so you can go on to have a successful career.
Networking

Network with peers, collaborate on projects, and access ongoing support from experienced instructors, fostering a conducive environment for growth and success.
Customised Training

We can tailor solutions to meet the specific needs of individuals & organisations, allowing for personalised learning experiences that maximize effectiveness and efficiency.
Flexible Payment

Cavillion offers a flexible payment plan which means you can focus on your studies rather than worrying how to afford your course fee. Just drop us an email.
No prior experience

Feel free to enrol in our courses to enhance your skills, regardless of prior qualifications. If unsure, reach out to our advisors for assistance. We're dedicated to aiding you.