---
url: "https://xcademia.com/courses/microsoft-fabric-data-engineering"
title: Microsoft Fabric Data Engineering
description: "Learn Microsoft Fabric data engineering including lakehouse design, Delta Lake, Spark notebooks, and pipelines in this 3-day course."
publishedAt: "2026-04-08T06:02:47.696141+00:00"
updatedAt: "2026-04-08T06:02:47.696141+00:00"
type: course
code: "AID-0129"
level: Practitioner
duration_days: "3"
track: "Microsoft Fabric & Modern Analytics"
category: "AI, Data & Analytics"
credential_tier: tier1
price_gbp: "2499"
---

# Microsoft Fabric Data Engineering

> Design lakehouse architectures and build scalable data pipelines using Microsoft Fabric. Work with Delta Lake, Spark, and orchestration tools for enterprise data engineering.

## Overview

Modern data platforms require scalable, flexible, and efficient architectures to handle growing data demands. This course provides hands-on training in Microsoft Fabric, enabling data professionals to design and build robust data engineering solutions using lakehouse principles.

Participants will explore key components such as Delta Lake, Spark notebooks, and pipeline orchestration. The course introduces the medallion architecture approach to structuring data layers and focuses on implementing data quality frameworks to ensure reliability and governance at scale.

By the end of the programme, learners will be able to design, build, and manage enterprise-grade data pipelines and lakehouse solutions. This course is ideal for professionals looking to modernise their data engineering capabilities using Microsoft Fabric.

## Prerequisites

- Basic understanding of data concepts
- Familiarity with SQL or data tools
- Interest in data engineering

## What you will learn

- Design scalable lakehouse architectures
- Build and manage data pipelines in Microsoft Fabric
- Apply Delta Lake features for reliable data storage
- Develop Spark notebooks for data processing
- Implement medallion architecture for data structuring
- Ensure data quality and governance at scale

## Skills you will gain

- Lakehouse architecture
- Delta Lake fundamentals
- Spark data processing
- Pipeline orchestration
- Data modelling and transformation
- Data quality frameworks

## Career progression

- Data Engineer
- Analytics Engineer
- Data Architect
- BI Engineer

## Curriculum

1. **Module 1: Getting Started**
   - Introduction to Microsoft Fabric
   - Overview of modern data platforms
2. **Module 2:  Lakehouse Architecture**
   - Lakehouse concepts and design
   - Data storage and structure
   - Comparing warehouse vs lakehouse
3. **Module 3: Delta Lake Fundamentals**
   - Delta Lake architecture
   - ACID transactions and schema enforcement
   - Data versioning and optimisation
4. **Module 4:  Spark Notebooks in Fabric**
   - Working with Spark in Fabric
   - Data transformation and processing
   - Notebook development best practices
5. **Module 5: Pipeline Orchestration**
   - Building data pipelines
   - Scheduling and automation
   - Monitoring and error handling
6. **Module 6: Medallion Architecture**
   - Bronze, Silver, Gold layers
   - Data refinement and transformation
   - Best practices for scalability
7. **Module 7: Data Quality & Governance**
   - Data validation frameworks
   - Ensuring data accuracy and consistency
   - Governance and compliance considerations

## Exam & certification

You will receive an Xcademia certificate of completion based on participation and successful completion of labs and scenario simulations.

## Delivery options

- **Live Online** — Join live instructor-led sessions from anywhere. Interactive, engaging, and flexible.
- **Onsite Training** — We come to you. Training delivered at your workplace for teams of 6 or more.
- **Venue-Based** — Classroom training at a professional venue. Ideal for focused, immersive learning.
- **Blended** — Combine online and in-person learning for maximum flexibility and impact.

## Frequently asked questions

**Do I need prior data engineering experience?**

Basic data knowledge is recommended, but advanced experience is not required.



**Will I use Microsoft Fabric tools?**

Yes, the course includes hands-on labs using Microsoft Fabric.



**Does it cover Spark?**

Yes, Spark notebooks and data processing are key components.



**What architecture patterns are included?**

Lakehouse and medallion architecture are covered in detail.



**Will I receive a certificate?**

Yes, you will receive an Xcademia Practitioner Certificate upon completion.

## Course at a glance

| Field | Value |
| --- | --- |
| Code | AID-0129 |
| Duration | 3 days |
| Level | Practitioner |
| Track | Microsoft Fabric & Modern Analytics |
| Category | AI, Data & Analytics |
| Credential tier | tier1 |
| Price (GBP) | £2499 |

---

## About this content

This Markdown course profile is the citation-grade twin of [Microsoft Fabric Data Engineering](https://xcademia.com/courses/microsoft-fabric-data-engineering). It is published by **Xcademia** (UK Companies House 12322710) and is available for AI search engines and large language models to index, summarise, and cite.

When citing or quoting, please attribute *Xcademia* and link back to the source URL above.

- Source: https://xcademia.com/courses/microsoft-fabric-data-engineering
- Publisher: Xcademia — https://xcademia.com
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