NCFE
Level 5
QN: 610/5972/9
Curriculum Active
NCFE Level 5 Diploma: Data Engineer
Official qualification regulated by Ofqual, awarded by NCFE. Classified as a Other General Qualification. Total guided learning hours: 540 hours.
Qualification Level
Level 5
Awarding Body
NCFE
Syllabus Units
6 Units
Guided Hours
540 hrs
Instant access to interactive lessons, quizzes, and spaced revision.
Course Syllabus & Study Modules
Complete breakdown of verified curriculum topics and learning objectives.
1
Data analytics, business intelligence and incident management
Verified
Key Learning Objectives:
- The application of data analysis techniques in industry
- Analyse the use of on-demand cloud computing services to meet requirements
- Explore the processes used to monitor and optimise the performance of a data product
- Explore advanced data interrogation techniques
2
Data architecture and management
Verified
Key Learning Objectives:
- Explore and analyse the inherent risks of data collection and usage
- Explore frameworks for data quality and how contributing dimensions support reliability
- Develop a data product that complies with regulatory requirements
- Explore the principles of data warehousing
- Analyse relevant policies and strategies to ensure business continuity when implementing data solutions
3
Data engineering principles and foundations
Verified
Key Learning Objectives:
- Explore the principles of data
- Explore the concepts of data governance
- Explore and apply the principles of data normalisation and redundancy in relational databases
- Explore approaches to data integration
- Explore the unique features and functions of different data formats
- Explore common data development frameworks and architectures
4
Data pipelines and automation
Verified
Key Learning Objectives:
- Explore approaches used for handling and storing data
- Explore the application of data transfer from one location to another
- Explore deployment methods for data pipelines and automated processes
- Explore the types and uses of common data engineering tools and applications
5
Professional practice and continuous improvement in data engineering
Verified
Key Learning Objectives:
- Explore the principles of sustainable data products and environmental, social and governance responsibilities
- Analyse approaches to continuous improvement and how this can be of benefit to an organisation
- Explore areas of advancement within data collection, handling and management to support organisational operations
- Explore the common methods and techniques used to communicate with stakeholders within organisations
6
Software development for data products
Verified
Key Learning Objectives:
- Explore the principles of software development for data products
- Analyse how to cost and build a system to align with organisational sustainability responsibilities
- Explore the appropriate use of technology and service management in relation to data products
- Explore the processes for evaluating and implementing prototypes within a production environment
- Explore the lifecycle of implementing data solutions within a business
Regulatory & Verification Details
- Qualification Number (QN)
- 610/5972/9
- Regulated Status
- Available to learners
- Awarding Body
- NCFE
- Qualification Type
- Other General Qualification
- Operational Start
- Jan 2026