Foundations and Modern Practices of Data Engineering
Imagine being the person who enables companies to make better decisions by ensuring clean, accessible, and well-structured data. How valuable would that be in your current role? What if you could build automated data pipelines that not only save time but also power machine learning and AI-driven insights?
Data-driven decision-making and robust data infrastructure are now essential for companies across all industries - but there is a catch, raw data must first be extracted, cleaned, transformed, and organized before it can deliver meaningful insights. This is where data engineering plays a critical role.
The Foundations and Modern Practices of Data Engineering program provides essential knowledge and practical skills to build scalable, efficient data pipelines. For businesses, this means improved data reliability, automation of manual processes, and enhanced analytics capabilities to drive informed strategies. For professionals, it offers the opportunity to develop in-demand expertise and gain hands-on experience with modern data tools and techniques.
In data engineering, you will be managing the seamless flow of information across systems. Through practical exercises, the program will explore data storage solutions ranging from traditional databases to unstructured data lakes. More than just theoretical knowledge, this program will equip you with real-world skills, ensuring you can confidently build and manage efficient, sustainable data infrastructures.

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Benefits
In today’s data-driven world, businesses that can efficiently collect, process, and analyze data gain a significant competitive advantage. If you want to design and build data infrastructure, develop scalable data solutions, or manage and analyze large datasets, this course will provide the essential skills you need. The possibilities for applying what you learn are endless. Investing in data engineering skills will bring tangible benefits to you and your organization:.






For
This program is designed to be accessible to anyone with a basic understanding of software development and a willingness to learn. We will start with the fundamentals and build your knowledge step by step towards mastering data engineering.
This program is perfect for those with basic software development skills, for example, analysts skilled in SQL, coders automating workflows, or developers exploring data engineering. If you have experience in these areas, you already have the essential skills to contribute to data engineering projects.
Through this program, participants will not only strengthen their technical skills but also contribute to creating efficient, data-driven systems that benefit their teams and organizations.
Contents and Schedule
The program covers core concepts of data engineering, including ETL processes, data storage solutions, and building scalable data pipelines. Participants will also gain hands-on experience with modern data tools and learn to support AI and machine learning applications.
Learning objectives
- Understanding the core concepts of data engineering
- Gaining a strong foundation in ETL (Extract, Transform, Load) processes
- Ability to design and implement ETL processes
- Getting hands-on experience with widely used data engineering tools
- Learning to design, build, and maintain robust, scalable data pipelines
- Prioritize data quality and understand data provenance
- Ability to work with various data storage solutions
- Developing the skills to support data warehouses, machine learning models, and AI-driven applications
The program will be delivered onsite.
Instructor

Matthew Wooller
Matthew Wooller is the Lead Data Strategist and Evangelist at Codento, and he keeps his hand in on the technical side of things by contributing engineering and architecture to client work where required.
Wooller has over thirty years of experience working on data-centric projects with companies such as MTV Networks Europe and Asia, the UKTV group, Sulake, Rovio, and Sanoma. In the past ten years, he has returned to consulting (it is where he started) and worked with global brands across many and varied domains to deliver data-led initiatives and instill a data-driven mindset. sentences)
Data Engineers: The Unsung Heroes of the Modern Organization
webinar with Matthew Wooller
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