Course description

The Data Engineering Programme is a practical, hands-on course designed to help learners build reliable, scalable, and well-governed data pipelines that power analytics, reporting, and decision-making.

This programme focuses on real-world data engineering practice, covering modern data architectures, efficient data modelling, high-performance SQL, Python-based ETL, orchestration, and real-time data processing. Learners will gain experience working with data warehouses, lakehouse patterns, and industry-standard engineering tools and workflows.

Through guided labs, engineering best practices, and a final Capstone End-to-End Data Pipeline project, learners will design, build, and document a complete data pipeline from source systems to business intelligence mirroring how data engineering teams operate in production environments.

Who it’s for

Data and technology professionals, including data engineers, analytics engineers, software engineers working with data, analysts transitioning into engineering roles, and others responsible for building or maintaining data platforms.

What you’ll gain

By the end of this programme, learners will be able to:

• Strong understanding of modern data architectures and modelling approaches
• Practical skills in SQL performance tuning and Python-based ETL pipelines
• Experience with data warehouses, lakehouse patterns, and dbt workflows
• Hands-on exposure to orchestration, monitoring, and pipeline reliability
• Understanding of streaming data concepts, observability, and cost control

Outcome

Learners gain the skills to design, build, and operate production-ready data pipelines that support scalable analytics and business intelligence.