Master Data Engineering using GCP Data Analytics
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Overview
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
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Disclaimer 01:00
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Lecture 1: Introduction to Data Engineering and GCP 09:00
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Lecture 2: Data Ingestion 09:00
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Lecture 3: Data Transformation 09:00
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Lecture 4: Data Warehousing 09:00
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Lecture 5: Data Orchestration 09:00
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Lecture 6: Data Integration 09:00
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Lecture 7: Data Quality and Governance 11:00
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Lecture 8: Data Analytics and Visualization 10:00
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Assessment 10:00
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.
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Legal information
This course is advertised on Reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.