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Data Engineering Fundamentals Level 3
Course Line On Demand

100% Online | 2026 Updated | Cheapest Fees | No Hidden Fees | Free PDF Certificate | 24/7 Support

Summary

Price
£15 inc VAT
Study method
Online, On Demand 
Course format
32 PDFs, 1 Article and 1 Quiz
Duration
1.9 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
1 student purchased this course

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Overview

Data Engineering Fundamentals Level 3 is designed for learners who want to develop a clear and structured understanding of data engineering and its role in modern, data-driven organisations. This course introduces data engineering as the discipline responsible for collecting, processing, storing, and managing data so it can be reliably used for analytics, reporting, and decision-making.

The course explores how data engineering supports business intelligence, data science, and digital transformation across industries. Learners gain foundational knowledge of data pipelines, databases, data processing methods, and big data technologies, alongside an understanding of how data flows from source systems to analytical platforms.

Throughout the course, data engineering concepts are explained in an accessible and practical manner. Learners explore how data is collected from different sources, transformed into usable formats, stored securely, and processed efficiently at scale. The course also introduces ethical considerations, data quality principles, and governance awareness to ensure responsible handling of data.

As learners progress, they gain insight into real-time and batch processing, cloud-based data platforms, integration using APIs, and performance optimisation techniques. The course concludes by connecting data engineering knowledge to real-world applications and career awareness, helping learners understand how data engineering fits into wider technology and business environments.

This course does not provide professional licensing or regulated competency. Instead, it focuses on building foundational knowledge, technical awareness, and analytical understanding suitable for learners preparing for further study or entry-level roles related to data engineering and data systems.

Certificates

Assessment details

Final Exam

Included in course price

Curriculum

This course contains

Format: 32 PDFs, 1 Article and 1 Quiz

Duration: 1h and 53m

Description

This Data Engineering Fundamentals Level 3 course consists of ten structured lectures, followed by an assessment, each designed to build essential knowledge of data engineering concepts, tools, and practices.

Lecture 1 introduces data engineering, explaining its role in modern organisations, key concepts, common tools, and ethical considerations. Learners explore how data engineering supports data-driven decision-making and responsible data use.

Lecture 2 focuses on data collection and ingestion, covering data sources, data types, extraction techniques, transformation and cleaning processes, and real-time data ingestion. This lecture builds understanding of how raw data is prepared for use.

Lecture 3 explores data storage and management, including relational databases, SQL, NoSQL databases, data warehousing concepts, and data lakes. Learners gain insight into how data engineering supports scalable and reliable data storage.

Lecture 4 examines data processing methods, comparing batch processing and real-time processing. Learners are introduced to data pipelines, ETL processes, and stream processing technologies such as Apache Kafka, developing awareness of how data flows through systems.

Lecture 5 introduces big data technologies, covering core concepts, the Hadoop ecosystem, and Apache Spark for large-scale data processing. This lecture explains how data engineering enables processing of high-volume and high-velocity data.

Lecture 6 focuses on data quality and governance, exploring methods for ensuring data accuracy, consistency, and reliability. Learners also examine data governance best practices and regulatory awareness, including compliance considerations such as GDPR.

Lecture 7 covers data integration and APIs, introducing integration patterns, API development and consumption, and basic API security and authentication principles within data engineering environments.

Lecture 8 explores advanced topics in data engineering, including the role of machine learning and AI, cloud-based data engineering platforms such as AWS, Azure, and GCP, and performance optimisation and scalability concepts.

Lecture 9 presents a capstone project, allowing learners to apply data engineering knowledge to a real-world scenario through project planning, execution, and presentation.

Lecture 10 focuses on career and industry insights, covering career paths in data engineering, industry trends, job market awareness, and guidance on CV preparation and interview readiness.

Assessment includes a final exam to evaluate understanding of data engineering fundamentals.

Certification

Upon successful completion of the Data Engineering Fundamentals Level 3 course, learners will receive a free digital certificate provided by Reed confirming their achievement and skill mastery. After obtaining the Reed certificate, learners will also receive a provider-issued course completion certificate, subject to verification of the Reed certificate. Learners may additionally choose to order a premium certificate and academic transcript, available in both hardcopy and softcopy formats, based on individual needs and for an additional cost. This course supports academic progression, professional development, and enhanced understanding of data engineering-related fields.

Who is this course for?

This data engineering course is suitable for learners interested in data, technology, analytics, or digital transformation. It is ideal for students, junior IT or data support staff, business professionals working with data systems, or individuals seeking foundational knowledge in data engineering before progressing to further study.

Requirements

No formal qualifications or prior experience are required to enrol on this data engineering course. Learners should have a basic to good standard of English, access to the internet, and a computer, tablet, or smartphone. Commitment to completing the assessment is required to successfully finish the data engineering course.

Career path

This data engineering course can support progression into data support roles, junior data operations positions, analytics support, technical assistant roles, or further academic study related to data engineering, data science, or information systems.

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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.

FAQs

Study method describes the format in which the course will be delivered. At Reed Courses, courses are delivered in a number of ways, including online courses, where the course content can be accessed online remotely, and classroom courses, where courses are delivered in person at a classroom venue.

CPD stands for Continuing Professional Development. If you work in certain professions or for certain companies, your employer may require you to complete a number of CPD hours or points, per year. You can find a range of CPD courses on Reed Courses, many of which can be completed online.

A regulated qualification is delivered by a learning institution which is regulated by a government body. In England, the government body which regulates courses is Ofqual. Ofqual regulated qualifications sit on the Regulated Qualifications Framework (RQF), which can help students understand how different qualifications in different fields compare to each other. The framework also helps students to understand what qualifications they need to progress towards a higher learning goal, such as a university degree or equivalent higher education award.

An endorsed course is a skills based course which has been checked over and approved by an independent awarding body. Endorsed courses are not regulated so do not result in a qualification - however, the student can usually purchase a certificate showing the awarding body's logo if they wish. Certain awarding bodies - such as Quality Licence Scheme and TQUK - have developed endorsement schemes as a way to help students select the best skills based courses for them.
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