Exploring Opportunities in Data Engineering, AI & Cloud — Free Info Session

WHAT THIS SESSION IS ABOUT
This session is an opportunity to take a closer look at what working in data, cloud, and AI looks like today.
We’ll share how data engineering teams work, what kinds of problems they solve, and the tools they use day to day. You’ll also see how our program is structured and the kinds of projects participants build along the way.
Think of it as an open introduction — a chance to understand the field a bit better and see how people move into it from different backgrounds.
There will be time for questions and discussion, and you're welcome to just listen and get a sense of whether this area interests you.
By the end of the session, you'll have a clearer idea of:
• What data engineers actually do in their daily work
• The skills and tools commonly used today
• How people transition into the field
• What learning this path typically involves

WHAT WE'LL LOOK AT TOGETHER
During the session, we'll walk through a few key areas to help you understand the field a bit better.
The data engineering job market today
What kinds of roles exist, what companies are looking for, and how AI is influencing the field.
Paths into data engineering
What learning the skills typically involves and what the journey can look like.
Tools and ways of working
An overview of the technologies and workflows commonly used in data teams.
How our program is structured
How the learning is organised, the kinds of projects participants work on, and what the experience looks like.
Funding options in Germany
An explanation of AZAV certification and how the Bildungsgutschein can support participation.

TECHNOLOGIES WE'LL TOUCH ON
As part of the session, you'll see examples of tools that data engineers often use in practice.
Data & Analytics
SQL · DBT · Snowflake · Power BI
Programming & AI
Python · Pandas · NumPy · Machine Learning
Cloud & Big Data
Azure · Databricks · Spark · Data Lakes
Collaboration
GitHub · Slack
These are tools you’ll frequently see in real data teams, and we’ll show how they fit together in everyday work.

WHO TENDS TO FIND THIS SESSION USEFUL
People usually join because they're trying to understand the field a bit more clearly.
Often they are:
• Thinking about moving into a data-related role
• Interested in technology but unsure where to begin
• Already working with data and looking to deepen their skills
• Curious about what data engineering actually involves
You don't need a technical background to attend — just an interest to progress in IT.

SESSION DETAILS
📅 Online — Free Info Session
🌍 Language: English
⏱️ Duration: ~90 minutes + Q&A
🏅 AZAV-Certified Program · 24 Weeks
💶 Bildungsgutschein Eligible

Can you create an image for this event?