---
url: "https://xcademia.com/courses/google-professional-data-engineer-training"
title: Google Professional Data Engineer Training
description: "Master Google Cloud data engineering with mentor-led training. Build pipelines, optimise data systems, and prepare for the Professional Data Engineer exam."
publishedAt: "2026-03-17T07:06:24.312007+00:00"
updatedAt: "2026-03-30T22:50:53.7265+00:00"
type: course
code: "AID-0037"
level: Professional
duration_days: "5"
track: "Data Engineering & Warehousing"
category: "AI, Data & Analytics"
credential_tier: tier1
price_gbp: "2499"
---

# Google Professional Data Engineer Training

> Master the design, build, and optimisation of data systems on Google Cloud using mentor-led, practical scenarios. Prepare for the Professional Data Engineer exam with real-world pipelines, architectures, and operational practices.

## Overview

This mentor-led programme equips learners with the capabilities required to design, build, secure, and optimise data platforms on Google Cloud. Through practical scenarios, participants learn how to create scalable data pipelines, manage storage solutions, and deliver reliable data for analytics and machine learning use cases.

The course aligns with the Professional Data Engineer certification objectives, focusing on real-world applications such as batch and streaming data processing, data warehousing, and workflow automation. Learners gain hands-on exposure to tools such as BigQuery, Dataflow, Pub/Sub, and Cloud Composer in guided labs and scenario-based exercises.

By the end of the programme, learners will be able to design robust data architectures, implement secure and compliant solutions, and operate data workloads efficiently in production environments. Emphasis is placed on performance optimisation, monitoring, and lifecycle management of data systems.

## Prerequisites

- Basic SQL knowledge
- Familiarity with cloud concepts
- Experience with data workflows

## What you will learn

- Design scalable cloud data architectures
- Analyse data processing requirements effectively
- Implement batch and streaming pipelines
- Evaluate storage and query performance
- Communicate data solutions to stakeholders
- Lead optimisation and monitoring strategies

## Skills you will gain

- Data pipeline design
- BigQuery optimisation
- Streaming data processing
- Workflow orchestration
- Data modelling techniques
- Cloud data security

## Career progression

- Data Engineer
- Cloud Data Engineer
- Analytics Engineer
- Data Platform Engineer
- Big Data Engineer

## Curriculum

1. **Module 1**
2. **Module 2**
3. **Module 3**
4. **Module 4**
5. **Module 5**

## Exam & certification

This programme is aligned with the official exam objectives. Exam registration and certification are managed directly by the awarding body.

## 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 Google Cloud experience?**

Basic familiarity helps, but core concepts are covered.



**Is this course aligned with the certification exam?**

Yes, it is aligned with the official exam objectives.



**Will I get hands-on practice?**

Yes, through labs, projects, and practical scenarios.



**How is this course delivered?**

It is delivered live online with mentor-led sessions.



**What happens after completing the course?**

You can attempt the certification and progress into advanced data roles.

## Course at a glance

| Field | Value |
| --- | --- |
| Code | AID-0037 |
| Duration | 5 days |
| Level | Professional |
| Track | Data Engineering & Warehousing |
| Category | AI, Data & Analytics |
| Credential tier | tier1 |
| Price (GBP) | £2499 |

---

## About this content

This Markdown course profile is the citation-grade twin of [Google Professional Data Engineer Training](https://xcademia.com/courses/google-professional-data-engineer-training). 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.

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