S2 E9. Data Science vs Data Engineering: Breaking the Wall - The Data Playbook Podcast with Kris Peeters & Jelena Grujic
The Data Playbook Podcast
<p>In this episode of <strong>The Data Playbook</strong>, <strong>Jelena Grujic</strong> (Dataminded) explains why the divide between data scientists and data engineers still exists and how to finally break it.</p>
<p>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.</p>
<p>A must-listen for data leaders and practitioners who want fewer debates and better data products.</p>
<p>🎧 Topics include data testing, notebooks, production data, functional programming, and team collaboration.</p>
<p>🎧 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.</p>
<p>🌐 More at <a href="https://www.dataminded.com/resources" rel="nofollow">https://www.dataminded.com/resources</a></p>
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<p>#DataScience #DataEngineering #DataLeadership #DataTeams #DataPlatform #AnalyticsEngineering #DataInProduction #MachineLearning #ModernDataStack #TheDataPlaybook</p>