Course Overview
Modern organisations rely on robust data platforms to power analytics, AI, and real-time decision-making. Data Engineers play a critical role in building scalable pipelines that transform raw data into reliable, high-quality datasets.
This programme provides a comprehensive foundation in data engineering, covering batch and streaming processing, data modelling techniques, pipeline orchestration, and data quality practices. Participants also explore modern warehouse and lakehouse architectures used in enterprise environments.
Through hands-on labs, learners design and implement end-to-end data pipelines, ensuring performance, reliability, and scalability across data platforms.
Hands-On Learning
Participants build batch and streaming pipelines, implement data models, and apply quality checks in real-world scenarios.
Mentor-Led Sessions
Industry experts guide learners through enterprise-grade data engineering practices and architectures.
Career-Ready Skills
Develop practical skills required to build and manage modern data platforms used in analytics and AI systems.
Learning Outcomes
Design and build batch and streaming data pipelines
Apply data modelling techniques for analytics systems
Implement data quality checks and validation
Work with warehouse and lakehouse architectures
Orchestrate and automate data workflows
Build scalable and reliable data platforms
Prerequisites
Basic programming knowledge (Python or SQL recommended)
Understanding of databases and data concepts
Familiarity with cloud platforms helpful
Detailed Syllabus
Organized by professional domains with comprehensive coverage
Topics Covered:
- •Role of a Data Engineer
- •Data lifecycle and architectures
- •Batch vs streaming processing
- •Modern data stack overview
Skills You'll Gain
Master these in-demand skills through hands-on practice
Career Progression
A clear view of the roles this programme supports, what typically comes next, and where learners progress over time
Ways to Learn
Choose the learning format that works best for you and your team
Live Online
Instructor-Led Training
Join live instructor-led sessions from anywhere. Interactive, engaging, and flexible.
- Live instructor interaction (real-time)
- Trainer-led walkthroughs and real examples
- Guided resources and session notes provided
- Structured Q&A and practical discussion
Price per person
Group enrolments and early planning options available.
All prices are exclusive of VAT where applicable. Group enrolments and custom packages available on request.
Prefer a Faster, Personalised Route into IT?
Not everyone learns best in a group. If you want focused guidance, faster clarity, and confidence you can use on the job, our 1-to-1 Fast-Track Training gives you private, mentor-led support tailored to your experience and goals.
"Many learners choose 1-to-1 when they want understanding, not memorisation."
Exam & Certification Information
Everything you need to know about the certification exams
Credential
Certificate of Completion
On successful completion of Data Engineer, learners receive an Xcademia Certificate of Completion. This standalone certificate is issued directly by Xcademia and is aligned with globally recognised frameworks and best practices.
Frequently Asked Questions
Everything you need to know about this course
A Data Engineer builds and manages data pipelines that transform raw data into usable datasets for analytics and AI.
Ready to Start Your Learning Journey?
Take the next step in your professional development