Build the technical and architectural skills to design, automate and scale the data systems that power modern business intelligence.
Develop the skills needed to turn data into a reliable, accessible and scalable business asset. You’ll learn how to design and build data systems that automate collection, storage and processing, enabling faster, more informed decision-making across the organisation.
Through hands-on projects, you’ll work with databases, software engineering practices, big data tools and cloud platforms to create robust, automated data pipelines.
Graduates leave ready to deliver efficient, secure and high-performing data infrastructures that support real-time analytics and long-term growth.
Every data-driven organisation relies on engineers to ensure data flows securely, efficiently and at scale.Strong data engineering foundations allow analysts and data scientists to focus on insight and innovation, not maintenance or manual preparation.
By mastering modern tools and practices, you’ll help your organisation improve agility, reduce costs and make better use of its data.
This Academy is designed for professionals who want to move into data engineering or enhance their understanding of how data systems are designed, managed and scaled. It’s ideal for analysts, developers and technical professionals looking to build the hands-on expertise required to manage data architecture, pipelines and cloud environments.
By the end of the programme, you’ll be able to:
– Design and build data architectures that enable scalable, efficient and secure data management.
– Create automated data pipelines for real-time collection, transformation and delivery.
– Work confidently with relational and non-relational databases to store and query structured and unstructured data.
– Apply DevOps principles to improve data workflow reliability and performance.
– Build and deploy cloud-based data solutions that scale with business needs.
– Deliver projects that demonstrate strong technical design, automation and measurable operational impact.
You’ll leave with the practical skills and confidence to support analytics, AI and business intelligence through modern data engineering.
Decoded has helped thousands of professionals build data and digital capability through practical, applied learning. Our blended learning Academy programmes combine expert teaching with hands-on projects, ensuring every learner can design and implement data systems that create measurable business impact.
Explore data engineering with a focus on tabular data, learning to manipulate, transform and extract insights from structured datasets that inform decision making.
Master data warehouses and Power BI, transforming raw data into visual stories that drive organisational decisions.
Build robust, efficient data solutions by applying software development best practices tailored for data engineering..
Apply DevOps principles, unit testing and containerisation to enhance agility, scalability and reliability in data workflows.
Design, manage and utilise non-relational databases to solve contemporary data challenges.
Develop automated pipelines, data architectures and real-time streaming solutions for continuous insight generation.
Use cloud technologies and frameworks to develop scalable, resilient and secure data solutions.
Apply everything you’ve learned in a practical project that showcases your ability to design and deliver end-to-end data engineering solutions.
If you’re ready to turn Data and AI into results, leave your details and we’ll recommend the right programme for your goals and team.
