Google Professional Data Engineer

Engineer data solutions with Google Professional Data Engineer. Learn data processing, analytics, and machine learning workflows. Build expert level data skills.

about this course

Google Professional Data Engineer validates advanced skills in designing, building, and operationalising data processing systems on Google Cloud. It focuses on data pipelines, storage, processing, governance, and turning data into insights at scale. It is ideal for experienced data professionals delivering data platforms and analytics.

UK-Based
IT Provider

100

% Live Classes

No pre-recorded lessons

Leading Vendors

Trusted certification tracks

80+

Courses

Covering Every IT Field

Days a Week

Flexible Learning, Anytime

Google Professional Data Engineer Course Overview and Modules

Want to build data platforms on Google Cloud that are reliable, secure, and easy to operate? If data pipelines feel complex, this course gives you a clear design and operations mindset. A professional data engineering course can help you:

Design data ingestion, processing, and storage solutions on Google Cloud
Build pipelines that support quality, governance, and security needs
Operate and monitor data workloads for reliability and performance
Turn data into insights with analytics and reporting considerations
Prepare for the Professional Data Engineer exam with structured practice

Prerequisites

Understanding of data concepts and pipelines is recommended, and cloud fundamentals help. It is designed for professionals building and operating data platforms on Google Cloud.

Certification Alignment

Aligned with the official Google Professional Data Engineer exam objectives, covering data processing, storage, security, and operationalising data solutions on Google Cloud.

Practical Application

Includes pipeline scenarios, data storage and processing comparisons, governance and security examples, and monitoring walkthroughs for reliable data operations.

Skills You Will Gain

Build and operate data pipelines, choose services for analytics workloads, apply governance and security thinking, and deliver reliable data platforms that support insights at scale.

What you will learn in Google Professional Data Engineer Certification

A carefully structured overview of the core concepts, technical domains, and practical competencies you will master to build confidence and certification readiness.

Design Data Pipelines and Processing Workflows

Plan pipelines that ingest, transform, and deliver data for analytics and operational use.

Choose Storage and Analytics Services by Workload

Select services that match structure, scale, and access patterns for reliable analytics.

Implement Data Governance and Security Controls

Apply access control and governance thinking to protect data and meet compliance needs.

Operationalise Data Solutions for Reliability

Monitor pipelines and manage failures so data platforms remain dependable and maintainable.

Enable Insights with Modelling and Reporting Readiness

Prepare data structures that support reporting, dashboards, and decision making needs.

Optimise Cost and Performance for Data Platforms

Tune designs and operations to manage cost while meeting performance requirements.

Google Professional Data Engineer Course Statistics

Everything you need to know about this certification, including exam details, delivery modes, duration, and pricing.

Certification

Google Professional Data Engineer

Exam Code

—

Starting from

£1,695

Not sure which format works best for you? Contact us for free advice and we’ll help design a tailored training plan to match your goals. Whether you need flexible course duration, online or on-site delivery, or a customised schedule, our advisors will guide you every step of the way.

Who This Course Is For

Google Professional Data Engineer is designed for experienced data professionals who build data pipelines and analytics platforms on Google Cloud and need strong skills in processing, governance, and operations. It is ideal for data engineers responsible for reliable data systems at scale who want to design, secure, and operationalise data solutions that drive insight and business value. It is ideal if you build data platforms at scale and want stronger confidence in secure pipelines and reliable operations on Google Cloud.

Certification & Exam Information

Certification

Google Professional Data Engineer

Exam

Vendor: Google Cloud
Level: Advanced
Delivery: Proctored exam (online or test centre, depending on provider and availability)
Exam details: See the official exam outline for current duration, question format, and passing requirements

Skills Measured

Design data processing systems
Build and operationalise data pipelines
Ensure data quality
Operationalise ML and analytics workloads
Secure and govern data solutions

Official Preparation Resources

Official exam outline and study resources
Vendor-approved training and practice tests (where available)

Google Professional Data Engineer Careers & Salaries in the UK

Data Engineer (£61,000 avg)

Analytics Engineer (£60,000 avg)

Database Administrator (£48,000 avg)

Data Analyst (£38,000 avg)

Book a Free Consultation With a Course Advisor

Frequently Asked Questions – Google Professional Data Engineer

We understand that choosing the right course is important. Below are answers to common questions about training, certification, exams, and career outcomes.

What is Google Professional Data Engineer and what does it validate?

Google Professional Data Engineer validates knowledge across data pipelines, data storage, processing and orchestration and how Google Cloud services support real workloads. It is designed to show you can make informed cloud decisions for your role.

Who should take Google Professional Data Engineer in the UK?

It suits UK learners aiming for Google Cloud roles in engineering, architecture, data, or security, depending on the certification. It is also useful for professionals working in organisations adopting Google Cloud.

Are there prerequisites for Google Professional Data Engineer?

Google Cloud certifications typically have recommended experience rather than formal prerequisites. For professional-level exams, hands-on work with Google Cloud and real project exposure is strongly recommended.

What topics are covered in Google Professional Data Engineer?

It covers data pipelines, data storage, processing and orchestration, ML and analytics, governance. The official exam guide is the best reference for the latest domains and updates to the exam.

Does this certification include data pipelines and ML concepts?

Yes. It covers building and operationalising data processing systems, including pipeline design, storage and processing choices, governance, and using analytics and ML capabilities where appropriate.

How do I book the Google Professional Data Engineer exam in the UK?

Google Cloud certification exams are booked through the Google Cloud Certification registration portal, with delivery partners providing online proctoring and test centre options in the UK. You choose online proctoring or a test centre where available, then follow the ID and exam-room requirements.

How much does Google Professional Data Engineer cost in the UK?

Google Cloud exam fees vary by certification level and can change. The current fee and currency are shown in the registration portal when you schedule your exam.

Can I take Google Professional Data Engineer online from home in the UK?

Yes, online proctored delivery is commonly available, subject to your system and environment meeting the proctoring requirements. Test centre delivery is also available in many UK locations.

What happens if I fail Google Professional Data Engineer, can I retake it?

Yes. Google Cloud has a retake policy with waiting periods between attempts. Always check the latest retake rules in the registration portal so you do not book too early.

What should I do after Google Professional Data Engineer?

A common next step is Advanced data platform roles and security specialisations. Pair the certification with hands-on labs and a small portfolio to make it more convincing to UK employers.

Related Data Science and Analytics Courses

Looking to build on this certification? These related courses can help you deepen your expertise and expand your career opportunities.

Python for Data Science and Machine Learning

Learn Python for data science and machine learning through practical, instructor-led training in the UK. Use NumPy, pandas, Matplotlib, Seaborn, and scikit-learn to clean data, analyse datasets, build models, and communicate insights.

Data Science and Analytics, Software and Web Development

View Details

CompTIA AI Prompting Essentials

Improve AI interaction skills with CompTIA AI Prompting Essentials. Learn effective prompting techniques for AI tools. Gain practical skills for modern workflows.

Data Science and Analytics

View Details

CompTIA DataSys+

Manage data systems with CompTIA DataSys+. Learn data infrastructure, management, and reliability concepts. Build practical knowledge for enterprise environments.

Data Science and Analytics

View Details

Free IT Training Consultation

Use the calendar to book your free one-to-one course advice session with a Codionix IT training expert. Get personalized career guidance to help you choose the best online IT course in the UK for your goals. We’re happy to answer any questions you may have and help you determine which of our training programs best fit your needs.