Dataminded

From “I know some Python” to building a full data product, in one week.
Are you starting out in data engineering, or hoping to move into it from analytics, BI, data science or software? Then you’ve probably noticed that tutorials teach individual tools but rarely show how everything works together in a real project.
That gap is what the Data Engineering Winter School is for. It’s an intensive, in-person week in Leuven where you learn the fundamentals by building, breaking and fixing things. You’ll work alongside Dataminded’s data engineers, who build data platforms for clients every day.

What we’ll cover

• Monday: The data landscape, git, Linux, bash, and DevOps with Docker
• Tuesday: Data analytics with Snowflake and dbt
• Wednesday: Data processing with Spark and Polars
• Thursday: Automating pipelines with Airflow, then starting your capstone project
• Friday: Finishing and presenting your capstone, plus a look at what comes next

You’ll leave with

• A clear picture of the data engineering landscape, including why things are done a certain way, not only what to do
• Hands-on experience with the core tools of a data engineer’s workbench
• The confidence to contribute to data pipelines, whether you’re working on your own or as part of a team

Who should join

• Junior data engineers who want a solid, practical foundation
• Data analysts, BI developers, data scientists and software engineers moving into data engineering
• Recent graduates aiming for a data engineering career

The only prerequisite is basic Python.

Good to know

• When: 1-5 February 2027, 9:00–17:00
• Where: Leuven, Belgium (in person)
• Language: English
• Format: Five days of hands-on workshops, plus short videos to watch before the week starts
• Pricing (excl. VAT): This is a paid training.
• Standard: €2,500
• SMEs: €1,600
• Students: €500
• Discounts:
• Early bird: 15% off until 15 December
• Groups: 15–30% off