Data Engineering Podcast

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This show goes behind the scenes for the tools, techniques, and difficulties associated with the discipline of data engineering. Databases, workflows, automation, and data manipulation are just some of the topics that you will find here.

Simplifying Data Pipelines with Durable Execution
Apr 12, 2025 – 00:39:49
Overcoming Redis Limitations: The Dragonfly DB Approach
Mar 30, 2025 – 00:43:58
Bringing AI Into The Inner Loop of Data Engineering With Ascend
Mar 24, 2025 – 00:52:47
Astronomer's Role in the Airflow Ecosystem: A Deep Dive with Pete DeJoy
Mar 16, 2025 – 00:51:41
Accelerated Computing in Modern Data Centers With Datapelago
Mar 8, 2025 – 00:55:36
The Future of Data Engineering: AI, LLMs, and Automation
Feb 26, 2025 – 00:59:39
Evolving Responsibilities in AI Data Management
Feb 16, 2025 – 00:38:57
CSVs Will Never Die And OneSchema Is Counting On It
Jan 13, 2025 – 00:54:40
Breaking Down Data Silos: AI and ML in Master Data Management
Jan 3, 2025 – 00:57:30
Building a Data Vision Board: A Guide to Strategic Planning
Dec 23, 2024 – 00:49:59
How Orchestration Impacts Data Platform Architecture
Dec 16, 2024 – 00:59:39
An Exploration Of The Impediments To Reusable Data Pipelines
Dec 8, 2024 – 00:51:32
The Art of Database Selection and Evolution
Dec 1, 2024 – 00:59:56
Bridging Code and UI in Data Orchestration with Kestra
Nov 26, 2024 – 00:44:30
Streaming Data Into The Lakehouse With Iceberg And Trino At Going
Nov 18, 2024 – 00:39:49
An Opinionated Look At End-to-end Code Only Analytical Workflows With Bruin
Nov 11, 2024 – 00:56:11
Feldera: Bridging Batch and Streaming with Incremental Computation
Nov 4, 2024 – 00:47:36
Accelerate Migration Of Your Data Warehouse with Datafold's AI Powered Migration Agent
Oct 27, 2024 – 00:48:50
Bring Vector Search And Storage To The Data Lake With Lance
Oct 20, 2024 – 00:58:01
The Role of Python in Shaping the Future of Data Platforms with DLT
Oct 13, 2024 – 00:54:08
Build Your Data Transformations Faster And Safer With SDF
Oct 6, 2024 – 00:42:36
Scaling Airbyte: Challenges and Milestones on the Road to 1.0
Sep 23, 2024 – 00:57:11
Enhancing Data Accessibility and Governance with Gravitino
Sep 1, 2024 – 00:38:41
The Evolution of DataOps: Insights from DataKitchen's CEO
Aug 4, 2024 – 00:53:30
Achieving Data Reliability: The Role of Data Contracts in Modern Data Management
Jul 28, 2024 – 00:49:26
How Generative AI Is Impacting Data Engineering Teams
Jul 21, 2024 – 00:54:45
The Role of Product Managers in Data-Centric Organizations
Jul 13, 2024 – 00:52:58
Neon: A Serverless And Developer Friendly Postgres
Jul 8, 2024 – 00:57:43
Improve Data Quality Through Engineering Rigor And Business Engagement With Synq
Jun 30, 2024 – 00:59:48
Stitching Together Enterprise Analytics With Microsoft Fabric
Jun 23, 2024 – 00:53:23
Being Data Driven At Stripe With Trino And Iceberg
Jun 16, 2024 – 00:53:20
X-Ray Vision For Your Flink Stream Processing With Datorios
Jun 9, 2024 – 00:42:22
Practical First Steps In Data Governance For Long Term Success
Jun 2, 2024 – 01:00:41
Data Migration Strategies For Large Scale Systems
May 27, 2024 – 01:00:00
Zenlytic Is Building You A Better Coworker With AI Agents
May 19, 2024 – 00:54:19
Release Management For Data Platform Services And Logic
May 12, 2024 – 00:20:09
Barking Up The Wrong GPTree: Building Better AI With A Cognitive Approach
May 5, 2024 – 00:54:17
Build Your Second Brain One Piece At A Time
Apr 28, 2024 – 00:50:10
Making Email Better With AI At Shortwave
Apr 21, 2024 – 00:53:43
Designing A Non-Relational Database Engine
Apr 14, 2024 – 01:16:02
Establish A Single Source Of Truth For Your Data Consumers With A Semantic Layer
Apr 7, 2024 – 00:56:23
Adding Anomaly Detection And Observability To Your dbt Projects Is Elementary
Mar 31, 2024 – 00:50:44
Ship Smarter Not Harder With Declarative And Collaborative Data Orchestration On Dagster+
Mar 24, 2024 – 00:55:40
Reconciling The Data In Your Databases With Datafold
Mar 17, 2024 – 00:58:14
Version Your Data Lakehouse Like Your Software With Nessie
Mar 10, 2024 – 00:40:55
When And How To Conduct An AI Program
Mar 3, 2024 – 00:46:25
Find Out About The Technology Behind The Latest PFAD In Analytical Database Development
Feb 25, 2024 – 00:56:01
Using Trino And Iceberg As The Foundation Of Your Data Lakehouse
Feb 18, 2024 – 00:58:46
Data Sharing Across Business And Platform Boundaries
Feb 11, 2024 – 00:59:56
Tackling Real Time Streaming Data With SQL Using RisingWave
Feb 4, 2024 – 00:56:55

Recent Reviews

Mbarton98

Great guests and topics

Always worth listening to understand what problems people are dealing with and considering how I can apply these lessons to my data engineering.
Fkn2013

Azure

I really enjoy this podcast and learn a lot from it. I wonder why none of data tools in Azure is never mentioned. Thanks
Googleduser

Interesting topics guests

Tobias does a great job covering the future of data engineering - practical tips, the future of the industry with the founders of new tools, and no-nonsense advice on how to build data pipelines, viz, and process that will scale.
SteveT3ch

Best Data Engineering Podcast

Found this podcast by accident and now can’t do without it. Very knowledgeable host and guesses
LisaIsHereForIt

Incredible insights!💥

No matter the topic, you’re guaranteed to gain something from every episode - can’t recommend Data Engineering enough. 🙌
ASobering

Such a wealth of knowledge! 🧠

Got a question about anything “data engineering?” Tobias has got you covered. 😎 Whether you’re well established as an engineer, or just getting started in your career, this is a must-listen podcast for you! Tobias does an incredible job leading engaging conversations with industry leaders who’ve actually experienced success themselves and every. single. episode. is jam-packed with helpful takeaways. Highly recommend listening and subscribing!
lixja

Niche

This podcast makes me feel sane when I’m working late running spark sql queries like a monkey
N Thalanki

Sets the standard for ALL data podcasts

I have been hooked on this podcast. Tobias is phenomenal. Most data professionals such as company founders are astoundingly poor at explaining what they do. Tobias skillfully extracts this by asking great questions. His ability to ask great questions and probe deep is what sets him apart. I have become disillusioned with podcasts like DM Radio or the Architect Show. The hosts are lazy and don’t probe. They are happy to rehash marketing trope about zeta bytes of data, about how data is the new oil etc. but leave us with no new insights.
Mj97843

Great podcast!

This is a great podcast. Tobias always asks great questions. The topics and the guest are always really interesting. You can learn interesting and important aspects of the software development world that you won’t get (as easily) surfing the web or reading tech books. Also check out his Python podcast which is equally awesome!
Guest560087

Good content

Good content. One minor annoyance observed is host speaking too close to the mic and volume of his voice is too high
Anantv

Interesting topics

In depth discussion on data engineering topics. I liked the server-less pipelines podcast a lot. Very insightful.
Minnow61

Great useful info

Tobias has so many great guests talking about relevant topics. I lead a data engineering team, and have used principle from this podcast many times in my everyday work.
Dmitry212

Great topics and vendors

Great in depth interviews in the data and analytics space!
TheBinApt22322

Great

Just starting on data engineering specifically lot of tangential experience, this is hugely helpful for my data engineer interview upcoming
Windy City Data Guy

Excellent podcast

Great commentary about data engineering, keep it up.