Introducing Apache Airflow 3 with Astronomer in collaboration with Delivery Hero

Oranienburger Str. 70, 10117 Berlin, Germany

Get up to speed on Airflow 3, the most transformative release in Airflow’s history. You’ll get a deep dive into key features of Airflow including: DAG Versioning, native backfill management and improved support for AI, ML & event-driven workloads.

With these innovations, Airflow 3 redefines orchestration, offering more flexibility and control than ever before.

This is a free event open to all participants, so don’t miss the chance to join!

Agenda

14:30
Opening Remarks - Astronomer + Delivery Hero

14:40
Unlocking the future of orchestration: Introducing Airflow 3.0

Airflow 3 is here, bringing a new era of flexibility, scalability, and security to data orchestration. This release introduces groundbreaking capabilities that make it easier than ever to build, run and manage data pipelines.

In this session, we will cover the key benefits of Airflow 3, including:

Ease of Use
Stronger Security
Ultimate Flexibility

With these innovations, Airflow 3 redefines orchestration, offering more flexibility and control than ever before.

15:20
The future of dbt on Airflow

Hear from the leading engineer on the Cosmos project about the future of dbt on Airflow including:

Running dbt workloads on Airflow 3
Cosmos and dbt fusion
Performance challenges and latest improvements

15:40
Delivery Hero data story

16:10
Break

16:20
Astronomer customer story

16:50
What’s new at Astronomer

Hear from the Astronomer team on how they are helping you build, run and observe Airflow better than ever before and get insights into Astronomer’s take on the future of Orchestration, covering:

Accelerating development of Airflow DAGs and making it easier for everyone
Reducing the infrastructure complexity and introducing a more secure and flexible way to run Airflow
Providing complete DataOps visibility

17:10
Panel Discussion: Scaling Data Teams for the Future

Data teams are evolving beyond pipelines and dashboards to become strategic drivers of automation and scalability. Inspired by DevOps, practices like Agile, CI/CD, and Infrastructure-as-Code are reshaping data engineering through the rise of DataOps.

This session outlines how to transform reactive teams into innovation engines by embracing collaboration, testing, automation, and modern orchestration. Whether leading a team or building your own skills, you’ll gain practical insights to stay ahead in the fast-changing data landscape.

17:40
Networking

Networking reception with complimentary pizza and drinks