Data Science vs Data Engineering: Breaking the Wall

In this episode of The Data Playbook, Jelena Grujic (Dataminded) explains why the divide between data scientists and data engineers still exists and how to finally break it.

We dive into real-world conflicts around unit tests, notebooks, production data access, documentation, and overengineered solutions. Jelena shares pragmatic alternatives like data testing, functional pipelines, and purpose-based access that actually work in production.

A must-listen for data leaders and practitioners who want fewer debates and better data products.

🎧 Topics include data testing, notebooks, production data, functional programming, and team collaboration.

🎧 Listen to more episodes of The Data Playbook for real-world stories on data platforms, GenAI, data products and cloud independence from Europe’s leading data practitioners and leaders.

🌐 More at www.dataminded.com/resources