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Master Data Engineering using GCP Data Analytics
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2025 Updated | Free PDF Certificate | 24/7 Support | No Hidden Fees | 100% Online | Cheapest Fees

Summary

Price
£19 inc VAT
Study method
Online, On Demand
Duration
1.4 hours · Self-paced
Qualification
No formal qualification
Certificates
  • Reed Courses Certificate of Completion - Free
Assessment details
  • Final Exam (included in price)
Additional info
  • Tutor is available to students

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Overview

Unlock the full potential of cloud technology in the financial sector with the Master Data Engineering using GCP Data Analytics course. Designed for aspiring professionals and industry practitioners, this advanced programme empowers learners to master the key tools and frameworks used in data-driven finance. With a focus on Google Cloud Platform (GCP), learners will explore how modern data engineering supports everything from real-time reporting and risk modelling to investment analytics and regulatory compliance.

This course provides the technical foundation to handle vast amounts of financial data with speed, accuracy, and scalability. Whether you're working in banking, asset management, or fintech, the demand for cloud-enabled data solutions is reshaping the finance industry—and this course places you at the heart of that transformation.

Key benefits of this course include:

  • Free final exam to assess your progress

  • Free digital certificate upon completion

  • Delivered by a CPD, UKRLP, and AOHT-registered provider

  • Fully online learning—study when and where it suits you

  • Designed to meet UK business, analytics, and finance standards

Elevate your career with in-demand GCP and finance expertise, all through a convenient and professionally structured learning experience.

Certificates

Reed Courses Certificate of Completion

Digital certificate - Included

Will be downloadable when all lectures have been completed.

Assessment details

Final Exam

Included in course price

Curriculum

10
sections
26
lectures
1h 26m
total

Course media

Description

The Master Data Engineering using GCP Data Analytics course delivers a deep, hands-on understanding of how data engineering drives innovation in the finance sector. This course goes beyond theory to offer practical insight into cloud-based data solutions used across financial services. Learners gain the skills needed to design, build, and manage complex data infrastructures using the powerful analytics capabilities of GCP.

Throughout the programme, learners explore how finance professionals harness cloud technologies for secure data storage, transaction processing, performance modelling, and regulatory reporting. The course demystifies tools such as BigQuery, Dataflow, and Pub/Sub, helping learners implement scalable data pipelines tailored to financial use cases. Real-world applications include algorithmic trading support, fraud detection, portfolio optimisation, and market trend analysis.

In addition to mastering technical skills, learners develop an understanding of how data engineering supports decision-making in finance, from automating risk controls to enhancing client reporting and forecasting. Ethical data handling and compliance with financial regulations are also addressed, preparing learners for real-world responsibilities.

This course is tailored to provide job-ready competencies and a clear understanding of how data engineering intersects with finance in today’s digital economy.

Certification
Upon successful completion of the course, learners will receive an instant, free digital certificate as official recognition of their achievement.

Who is this course for?

This course is ideal for individuals looking to advance or transition into data-focused finance roles. It is particularly well-suited for:

  • Finance professionals seeking technical upskilling in cloud data engineering

  • Data analysts aiming to specialise in finance-specific applications

  • Fintech specialists looking to leverage GCP tools in real-time environments

  • Career changers entering the finance or data science sectors

  • IT professionals in banking who want to master finance-related data pipelines

  • Students preparing for graduate roles in financial data analytics or engineering

If you’re ready to combine finance insight with technical innovation, this course is built to support your goals.

Requirements

To enrol in this course, learners will need:

  • Basic written English proficiency

  • Access to a reliable internet connection and a computer or smart device

  • Interest in finance and cloud-based data systems

No prior experience in GCP or finance is required, making this course suitable for both beginners and professionals expanding their skillset.

Career path

Graduates can pursue roles such as Financial Data Engineer, Cloud Analytics Consultant, GCP Finance Solutions Architect, Fintech Data Analyst, Risk Modelling Analyst, or Quantitative Engineering Associate—each aligned with the growing demand for cloud-based finance professionals.

Questions and answers

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FAQs

Interest free credit agreements provided by Zopa Bank Limited trading as DivideBuy are not regulated by the Financial Conduct Authority and do not fall under the jurisdiction of the Financial Ombudsman Service. Zopa Bank Limited trading as DivideBuy is authorised by the Prudential Regulation Authority and regulated by the Financial Conduct Authority and the Prudential Regulation Authority, and entered on the Financial Services Register (800542). Zopa Bank Limited (10627575) is incorporated in England & Wales and has its registered office at: 1st Floor, Cottons Centre, Tooley Street, London, SE1 2QG. VAT Number 281765280. DivideBuy's trading address is First Floor, Brunswick Court, Brunswick Street, Newcastle-under-Lyme, ST5 1HH. © Zopa Bank Limited 2026. All rights reserved.