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Data warehousing and data engineering

Build the warehouses and pipelines that feed the whole company.

Your running project

A shop chain's sales warehouse

The need
Bring each day's sales from several shops into one reliable table.
The data
A public sales dataset.
External tools
SQLSnowflakedbtAirflow

Workshop

Establish the needs

Who uses it, what problem it solves, how to tell it worked.

Precision of your question: 0/5

What you will learn

  • Advanced SQL and dimensional modelling
  • Loading, transformation and orchestration
  • Cloud warehouses: Snowflake, Microsoft Fabric
  • Data quality and documentation

Certifications to aim for at the end

These certifications are issued by their own bodies, not by Nangmo, and their exams are paid for with them. Checked on 3 November 2026: confirm the language, price and exam location on their site before registering. These exams are generally taken without AI: you will need to read and reason on your own.

How to start a career in this field

  1. 1Become very strong in SQL: it is most of the interview.
  2. 2Model a small warehouse from public data, then automate its loading.
  3. 3Take SnowPro Core, then DP-700.
  4. 4Start as a BI analyst or junior data engineer: these roles lead to one another.

First jobs to aim for

  • Junior data engineer
  • BI developer
  • Analytics engineer

The workshop is open, but this path's lessons are not online yet. Tell us you are interested: it helps us decide which to write first.