Data Engineering Career Pathway

Become a Data Engineer earning £45k–£85k in as little as 12 months—no prior experience needed.

£57k Avg. UK Salary12 Months to QualifyNo Experience NeededHuge Demand
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About the pathway

Are you ready to embark on an exciting journey into the field of data engineering? Our "How to Become a Data Engineer" pathway equips you with the skills, certifications, and knowledge needed to excel in the data-driven world. With a focus on industry-recognised qualifications, this comprehensive pathway is designed to help you master data engineering techniques and methodologies, giving you a competitive edge in the field.

This pathway includes five cutting-edge courses and certifications, carefully curated to ensure you meet the latest industry demands. Developed in collaboration with top industry experts and accredited by globally respected organisations, these certifications set the foundation for a successful career in data engineering. Whether you're just starting or looking to upskill, this pathway provides a clear route to becoming a professional data engineer.

Join us and earn your certifications in data engineering, unlocking countless opportunities in one of the fastest-growing and most in-demand industries in the world. Enrol now to launch your career in data engineering and make a real impact on the digital landscape.

Key Skills You'll Gain

  • Comprehensive understanding of database fundamentals and Python programming through our introductory courses.
  • Mastery of Microsoft Azure data services and cloud computing concepts with DP-900 certification.
  • Advanced AI and machine learning knowledge with Microsoft Azure AI Fundamentals (AI-900).
  • In-depth understanding of data engineering techniques and Microsoft Fabric with DP-700 certification.
  • Practical skills in data modelling, ETL processes, and data pipeline development, preparing you for real-world challenges.

Career Outcomes

The average salary for data engineers in the UK is around £57,000, with typical salaries ranging from £45,000 to £85,000 depending on experience, tools used, and sector. Demand is rising fast, offering strong career and salary progression.

Entry Level

Junior Data Engineer£30k-£40k
Data Pipeline Developer£35k-£45k
See entry roles

Mid Level (2-5 years)

Data Engineer£50k-£70k
ETL Developer£45k-£65k
Explore mid-level roles

Senior Level (5+ years)

Senior Data Engineer£75k-£95k
Data Engineering Manager£85k-£120k+
View senior careers

Course Details

Course Overview

Master the fundamentals of database systems and data management. This course provides a solid foundation in database concepts, SQL, data modelling, and database design principles.

Modules
  • Database Fundamentals
  • Relational Database Design
  • SQL Programming
  • Data Modelling and Normalisation
  • Database Administration Basics
Skills Earned

Upon successful completion of this course, you will have a comprehensive understanding of database fundamentals, SQL programming, and data modelling techniques. These skills form the essential foundation for any data engineering career.

Course Statistics
  • Duration: 40 hours
  • Assessment: Final Project
  • Modules: 5
  • Practice Exercises: 10
Course Benefits
  • Foundation for data engineering
  • Essential database knowledge
  • SQL programming skills
  • Data modelling expertise
  • Industry-standard practices

Course Overview

Learn Python programming fundamentals essential for data engineering. This course covers Python syntax, data structures, libraries, and programming best practices for data manipulation.

Modules
  • Python Fundamentals
  • Data Structures and Algorithms
  • Python Libraries for Data Science
  • Data Manipulation with Pandas
  • Data Visualisation
Skills Earned

Upon successful completion of this course, you will have mastered Python programming fundamentals and essential data science libraries. These skills are crucial for data engineering tasks and automation.

Course Statistics
  • Duration: 50 hours
  • Assessment: Coding Project
  • Modules: 5
  • Practice Exercises: 15
Course Benefits
  • Python programming mastery
  • Data science library skills
  • Data manipulation expertise
  • Programming best practices
  • Foundation for automation

Course Overview

Master the fundamentals of data services in Microsoft Azure. This course covers core data concepts, Azure data services, and data analytics solutions.

Modules
  • Core Data Concepts
  • Azure Data Services
  • Azure Data Analytics
  • Data Security and Privacy
  • Data Governance
Certification Earned

Upon successful completion of this course and passing the DP-900 exam, you will earn the Microsoft Azure Data Fundamentals certification. This globally recognised certification validates your understanding of data concepts and Azure data services.

Course Statistics
  • Duration: 40 hours
  • Exam: DP-900
  • Modules: 5
  • Practice Tests: 5
Certification Benefits
  • Globally recognised Microsoft certification
  • Validates Azure data knowledge
  • Enhances cloud data expertise
  • Foundation for advanced Azure certifications
  • Digital badge for professional profiles

Course Overview

Learn fundamental AI concepts and Microsoft Azure AI services. This course covers machine learning, computer vision, natural language processing, and conversational AI.

Modules
  • AI Fundamentals
  • Machine Learning Concepts
  • Computer Vision
  • Natural Language Processing
  • Conversational AI
Certification Earned

Upon successful completion of this course and passing the AI-900 exam, you will earn the Microsoft Azure AI Fundamentals certification. This certification demonstrates your expertise in AI concepts and Azure AI services.

Course Statistics
  • Duration: 35 hours
  • Exam: AI-900
  • Modules: 5
  • Practice Tests: 5
Certification Benefits
  • Industry-recognised AI certification
  • Validates AI and ML knowledge
  • Enhances data engineering expertise
  • Foundation for advanced AI certifications
  • Demonstrates Azure AI proficiency

Course Overview

Master Microsoft Fabric data engineering capabilities. This course covers data engineering tasks, data transformation, and building data solutions using Microsoft Fabric.

Modules
  • Microsoft Fabric Fundamentals
  • Data Engineering in Fabric
  • Data Transformation and Processing
  • Data Modelling and Design
  • Data Pipeline Development
  • Performance Optimisation
  • Data Governance and Security
  • Monitoring and Troubleshooting
Certification Earned

Upon successful completion of this course and passing the DP-700 exam, you will earn the Microsoft Fabric Data Engineer Associate certification. This advanced certification validates your expertise in data engineering using Microsoft Fabric.

Course Statistics
  • Duration: 80 hours
  • Exam: DP-700
  • Modules: 8
  • Practice Tests: 5
Certification Benefits
  • Advanced Microsoft Fabric certification
  • Validates data engineering expertise
  • Meets industry data engineering standards
  • Enhances career opportunities in data
  • Demonstrates expert-level Fabric knowledge

Frederick's Story

Frederick Waters-Hastie transformed his career through 18 months of dedicated learning and strategic planning. By combining theory with hands-on practice via our cybersecurity pathway, he gained the skills and confidence to secure a Lead IT role earning £80,000 annually—showcasing how focused effort and quality training lead to senior success.

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