Python & SQL
The two languages of every data role, both at production level.
Bootcamp · HBO-recognised
Bootcamp Data Engineer
Pipelines, warehouses and scale. Learn to build data infrastructure that teams use every day. From ETL to real-time streaming. The role every data team is looking for.
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Who it's for
This route fits you if…
- You love systems and structure
- You enjoy solving problems at scale
- You want a role where Python and SQL come together
- You want to work at a real data team within a year
Who it's not for
This is not a good choice if…
- You mainly want to do analyses: pick Data Analyst in Pro instead
- You want to stay broad: pick Full Stack instead
- You want part-time next to work: choose Pro
What you'll be able to do
Where you stand after the bootcamp
- Build production pipelines with Airflow and dbt
- Design warehouses and lakes on BigQuery, Snowflake or Redshift
- Process streaming data with Kafka or Spark
- A final project with an end-to-end pipeline and monitoring
Curriculum
From zero to production data
Data pipelines
Airflow, dbt, Prefect: orchestration that works as the team grows.
Warehouses & lakes
BigQuery, Snowflake, Redshift: architecture and cost management.
Streaming & real-time
Kafka, Spark Streaming: data the moment it arrives.
Final project
An end-to-end pipeline on real datasets: model, schedules and monitoring.
What you'll build
Projects that become your portfolio
No lookalike to-do apps. Real projects with coach feedback. The kind you show in interviews.
- An end-to-end pipeline from API to dashboard, in production
- A warehouse design with cost monitoring and partitioning
- A final project: end-to-end pipeline on a realistic data problem
Admissions
Is this programme a fit?
What we expect, and what you get from us.
- HAVO/VWO/MBO-4 diploma, or demonstrable working/thinking level
- Selection call + short intake assignment
- Affinity with numbers and logic
- Willingness to be available 32+ hours per week
Ready for the switch?
Apply for the Data Engineer bootcamp, or first book a 30-minute introduction call with a study advisor. Prefer to read the brochure first? That's fine too.