Build Cloud Data Pipelines

Learn the enterprise data stack that companies actually hire for. Design and operate pipelines with Azure Data Factory, Databricks, Azure Synapse and Azure Data Lake, and move into one of the highest-paid roles in the data field.

Tools you will learn

• Azure Data Factory
• Databricks
• Azure Synapse
• Azure Data Lake
• Python
• Power BI

Career opportunities

• Azure Data Engineer
• Cloud Data Engineer
• Analytics Engineer

Frequently asked questions

What does an Azure Data Engineer do?

An Azure Data Engineer designs and runs the pipelines that move, clean and store data so analysts and data scientists can use it reliably at scale.

Do I need prior cloud experience for this course?

No. The course covers Azure fundamentals before moving into Data Factory, Databricks and Synapse, so you can start without previous cloud exposure.

Why choose Azure Data Engineering over Data Analytics?

Data engineering roles are less crowded and typically command higher salaries, because they require both programming and infrastructure skills that fewer candidates have.