Applied Data Engineering

Applied Data Engineering

What you'll get

Level 5 Apprenticeship
Data Engineer
Fully funded by the Levy.

Duration

15 month delivery, plus 3 month assessment

What's included

Applied learning

All of your learning is on-the-job and relevant, so you can drive immediate impact with real-life projects

Global networking community

Gain access to our community of 20,000+ learners and alumni

Guided by experts

Join 1:1 and group sessions with our industry-expert coaches

Personalised for you

Get personalised guidance and support every step of the way

What you'll need

  • 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

Application process

Create an account

Click ‘Get started’ below to start building your profile.

Join a live session

Meet the Multiverse team, find out which programme is right for you and learn how to apply.

Speak to your manager

Discuss the opportunity with them and ask how they can support you.

Complete your application

Tell us about your skills, experience, and why you want to join the programme. We’ll help make sure it’s the right one for you.

More

Free
For individuals
Paid for by your employer when we partner with them

Overview

Designed for data professionals, this course will help you master next-gen technical skills, while developing a product-focused mindset. Gain skills to implement solutions across the spectrum of engineering operations, while ensuring best practice in data modelling, storage, and change management.

Skills you'll gain

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

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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Take your careeer to the next level

Optimise your role

Get better work done faster. No more spending hours on manual tasks with limited impact.

Future-proof your skills

The working world requires a new set of skills and our programmes can help you succeed in today's workplace.

Advance in your field

Advance in your field and receive the promotion or raise you no doubt deserve.

Earn credentials

Earn a nationally recognised qualification that will boost your CV.

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

Applied learning

All of your learning is on-the-job and relevant, so you can drive immediate impact with real-life projects.

Personalised for you

Get personalised guidance and support every step of the way from our team of coaches and Multiverse Atlas, our AI-powered on-demand coach.

Guided by experts

Get 1:1 coaching from our industry experts, as well as group coaching sessions and study groups.

Global networking community

Build connections to last a lifetime as a part of our ever-growing apprentice Community of 20,000+ learners and alumni.