Great data engineers never stop learning. In 2025 the fastest way to stay current is to listen to high-quality podcasts that unpack real production stories. Below are the ten shows that deliver the most value for aspiring and experienced data engineers alike.
Each show was evaluated on technical depth, relevance to day-to-day data work, host expertise, production quality, episode frequency and community engagement. Only podcasts releasing fresh 2025 content made the cut.
Host Tobias Macey interviews engineers building petabyte-scale systems. Episodes dissect data models, orchestration failures and cost optimization. The 2025 season adds mini-series on streaming design patterns.
“Managing Iceberg Tables at Scale” released March 2025 gives a blueprint for lakehouse governance.
Eric Dodds and Kostas Pardalis focus on the real-world modern data stack.
Weekly 2025 episodes compare ingestion tools, observability layers and ELT trade-offs without pushing vendor agendas.
RudderStack’s team spotlights engineers at Netflix, Grab and Shopify. The 2025 lineup digs into Delta Lake compaction and Rust-based data services, making it perfect for engineers eyeing hyperscale roles.
Hosted by Tristan Handy and Julia Schottenstein, this dbt-originated show bridges analytics and data engineering.
The 2025 arc explores semantic layers, contracts and how to tame query sprawl.
Kyle Polich’s spinoff dives into reproducible pipelines, testing frameworks and ML-ops plumbing. Short 20-minute 2025 episodes suit commute listening.
IBM Fellow Al Martin invites architects behind Watsonx and Cloud Pak. 2025 topics range from open-source governance to carbon-aware scheduling.
Founder Jeff Meyerson curates expert interviews on storage engines, OLAP design and real-time analytics. The dedicated 2025 track releases twice weekly.
DataCamp’s flagship now includes a quarterly engineering series. Guests walk through DAG orchestration, metadata hubs and cost-aware infra choices.
The 2025 reboot led by Kelly Kohlleffel highlights open-source tooling and cloud reference architectures, distilled into 30-minute sprints.
Recorded live at the 2025 conference, this show features European practitioners discussing governance, Fabric vs Snowflake debates and data mesh audits.
Subscribe to the top three shows and schedule weekly reflection time. Pair an episode with a small lab exercise.
Most hosts run Slack or Discord groups where questions get answered by peers and guests.
Engage early to expand your network.
As you pick up new optimizations, store reusable queries and patterns inside Galaxy’s shared Collections. Endorsed snippets prevent knowledge loss and speed up team adoption.
Listening sharpens theory, but execution happens in SQL. Galaxy’s lightning-fast editor, context-aware AI copilot and versioned Collections turn podcast inspiration into production-ready queries.
Capture every best practice, share it with teammates and keep iterating confidently.
Start your free Galaxy workspace today and put these new ideas to work.
Most episodes run 30-60 minutes. Two shows per week gives you two focused hours of applied learning without overwhelming your schedule.
Yes. Start with Data Skeptic’s DE Edition for gentle introductions, then graduate to Data Engineering Podcast for deeper dives.
Use Galaxy to experiment with concepts you hear. The AI copilot translates theory into working SQL, while Collections store battle-tested queries for your team.
A USB microphone, quiet room and free editing software like Audacity are enough to launch. Focus on consistent audio quality and insightful topics.
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