Applied Data Engineering

Enable data engineers to build powerful, scalable business solutions.
Part of our
courses.

Applied Data Engineering

Enable data engineers to build powerful, scalable business solutions.
Part of our
courses.

Key info

Level 5 Apprenticeship
Data Engineer
Fully funded by the Levy.

Duration

15 month delivery, plus 3 month assessment

Entry requirements

  • Right to work in the UK
  • Lived in the UK or EEA continuously for the past 3 years
  • Not previously studied the course content
  • Not undertaking any other qualification during apprenticeship
  • Able to apply learning to role
Fully-funded
Eligible for full Levy funding
Price £19000. Read our UK Apprenticeship Levy FAQ.

Course overview

Help data professionals master next-gen technical skills, while developing a product-focused mindset. Learners gain skills to implement solutions across the spectrum of engineering operations, while ensuring best practice in data modelling, storage, and change management.

Skills gained

Data systems and architecture
Data modelling
Data solutions design
Data governance
Data change management
Machine learning

Business outcomes

Build an innovative data function

Empower teams with strong commercial awareness and a product mindset, helping them design data pipelines and architecture that aligns to business needs.

Increase efficiency and drive AI implementation

Automate manual data processes and create structured datasets to power AI workflows.

Increase data capability and capacity

Build scalable, adaptable solutions that can handle growing demand for data and fast-moving business needs.

Curriculum

Building your data engineering toolkit

Module 1

Data systems and architecture

  • Data infrastructure
  • Data acquisition and enrichment
  • Continuous learning for data engineers

Module 2

Data modelling

  • Schema design and data mapping
  • Data warehousing, data lakes, and data meshes

Module 3

Data pipelines

  • Ensuring data quality
  • Extracting and transferring data
  • Data integration and ingestion

Module 4

Automating data pipelines

  • Data pipeline automation
  • Pipeline deployment

Module 5

Testing data pipelines

  • Pipeline troubleshooting
  • Pipeline testing and observability

Product-focused development

Module 6

Data security, governance, and ethics

  • Data governance and regulations
  • Data policy and ethics
  • Sustainable data practices

Module 7

End point assessment (EPA) readiness

  • Working session to learn more about the EPA, practice for your interview, and work on your evidence.

Module 8

Data solutions for business impact

  • Developing data solutions
  • Evaluating data solutions

Module 9

Transformative development methodologies

  • Software development methodologies (DataOps and DevOps)
  • Emerging skills and technologies
  • Legacy system transformation

Module 10

Data change management

  • Change data capture
  • Data lineage
  • Change management

Scale and innovation for enterprise

Module 11

Real-time data processing

  • Scalable solutions
  • Real-time processing and analytics

Module 12

Cloud engineering

  • Cloud engineering
  • Developing effective cloud architecture

Module 13

Critical incident response

  • Incident identification and mitigation
  • Disaster recovery and continuity

Module 14

Data engineering for machine learning

  • Facilitating data science with data engineering
  • Machine learning foundations
  • Data preparation for feature engineering

Gateway and independent preparation for end point assessment (EPA)

Months 15-17

Gateway and independent preparation for end point assessment (EPA)

  • Produce project evaluation report
  • Build and practice project presentation
  • Practice for professional discussion

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Weekly delivery model

Structured learning

~ 2-3 hours

40%

Asynchronous learning

Online, self-paced content that sets the foundation of skills for the module

Live workshops

Instructor-led, interactive workshops that dives deeper and reinforces the asynchronous content

Group coaching

Structured coach & peer support on project deliverables

Coach support

Includes tutoring, progress reviews, and other individual/group support

Applying learning in role

~ 3-4 hours

60%

Project & applied learning

Structured and unstructured application of learning to apprentices’ roles

Approx

6-7

hours per week

Why our approach works

Measurable Impact

Track quantifiable return on learning investment through business efficiencies, productivity and cost-savings.

Applied learning

We deliver project-based learning in a real-world context, personalised to each learner, to drive deep skill retention.

Guided by experts

Learners receive 1-to-1 coaching from industry experts, regular group coaching and community collaboration.

Transform careers

Everyone in your team has future-focused potential and deserves equitable access to economic opportunity.

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