Data Engineering Bootcamp

A data engineering bootcamp that fits in your morning coffee.

Most data engineering bootcamps cost $5,000+, lock you to a cohort schedule and forget you the day you graduate. DataForge is the opposite: €2.99/month, self-paced, gamified, and built around 5-minute exercises you can actually keep up with for 6 months straight.
Start the bootcamp — 7 days free See pricing

What's in the bootcamp

14 full courses across 5 narrative acts. Every course is split into modules, every module into lessons of about 5 minutes, and every lesson into 4–8 hands-on exercises:

  • Foundations — what the modern data stack actually does.
  • Docker & Terraform — your environments and infrastructure as code.
  • SQL & dbt — the modeling layer everyone underestimates.
  • Spark, Iceberg, Kafka — distributed processing and streaming.
  • Airflow & Dagster — orchestration that doesn't break at 3am.
  • Snowflake, Databricks, Azure — the production platforms employers ask for.
  • Architecture — designing platforms end-to-end.

Why €2.99 and not €5,000?

Because cohort bootcamps are mostly paying for a cohort manager and a lecture stream — not for the learning. The actual learning happens when you debug a broken Dockerfile, write a window function from scratch, or fix a Kafka consumer. DataForge cuts the lecture and keeps the part that matters, gamified.

What you'll be able to do at the end

After finishing the 14 courses, you'll be able to:

  • Containerise a data pipeline with Docker and run it locally and in CI.
  • Provision warehouse + lake + orchestrator with Terraform.
  • Write production SQL with window functions, CTEs and proper testing.
  • Model with dbt — sources, staging, marts, snapshots, tests.
  • Process batch data at scale with Spark, table formats with Iceberg.
  • Build streaming pipelines with Kafka — producers, consumers, schemas.
  • Schedule the whole thing in Airflow with retries, SLAs and alerts.
  • Reason about lakehouse architecture, governance and cost on Snowflake / Databricks / Azure.

FAQ

Is DataForge a real bootcamp?
Yes — but a self-paced, gamified one. Instead of an 8-week boot-camp sprint that burns you out, DataForge spreads the same material across daily 5-minute exercises with streaks, so you actually retain it.
How is this different from a traditional data engineering bootcamp?
Traditional bootcamps charge $3k–$15k for cohort-based video courses with little hands-on practice. DataForge costs €2.99/month, is fully self-paced, and is built around exercises — not lectures.
Do I get a certificate?
DataForge issues badges (visible on your profile) for completing courses and tier milestones. We don't issue paper certificates because in data engineering, what hiring managers actually check is your GitHub and your ability to debug real code.
What stack does the bootcamp cover?
SQL, Python, Docker, Terraform, Apache Spark, Apache Kafka, Apache Iceberg, Apache Airflow, dbt, Databricks, Snowflake and Azure — the full modern data stack.
Is it good for total beginners?
Yes. Phase 1 (Foundations) assumes no prior data background. If you can write a basic SQL SELECT, you'll be more than fine.

Ready to start?

7 days free. Then less than a coffee per month.

Start the bootcamp — 7 days free