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Artwork for Data Engineering Podcast

Data Engineering Podcast

Tobias Macey
Data Engineering
Machine Learning
Data Quality
Data Management
Data Governance
Data Migration
Generative AI
Data Architecture
Datafold
Cloud Computing
Data Integration
Artificial Intelligence
Data Lakes
Data Warehousing
Data Modeling
Kafka
AI Systems
DBT
Software Engineering
Business Intelligence

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.

PublishesWeeklyEpisodes511Founded9 years ago
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EducationTechnology

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Artwork for Data Engineering Podcast

Latest Episodes

Summary

In this episode Weimo Liu, co‑founder of PuppyGraph, talks about the engineering behind their “zero-copy” graph querying engine for lakehouse and database sources. He explores how PuppyGraph lets you run Cypher and Gremlin traversals and grap... more

Summary

In this episode Robert Nishihara, co-founder of Anyscale and co-creator of Ray, talks about maximizing hardware utilization for AI and data-intensive workloads. He explores Ray’s evolution alongside Kubernetes and PyTorch, and why consolidati... more

YouTube

Summary 

In this episode, I sit down with Gleb Mezhanskiy, CEO and co-founder of Datafold, to explore how agentic AI is reshaping data engineering. We unpack the leap from chat-assisted coding to truly agentic workflows where AI not only writes SQL a... more

YouTube

Summary 

In this episode Himant Goyal, Senior Product Manager at Salesforce, talks about how data platform investments enable reliable, accurate metering for consumption-based business models. Himant explains why consumption turns operations into a r... more

YouTube

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Recent Guests

Robert Nishihara
Co-founder of Anyscale, co-creator of Ray
Anyscale
Episode: Maximizing GPU Utilization: Heterogeneous Pipelines with Ray and Kubernetes
Himant Goyal
Senior Product Manager at Salesforce
Salesforce
Episode: Treat Metering Like Finance: Building Data Platforms for Consumption Economics
Rowan Cockett
CEO and co-founder of CurveNote; co-founder of Continuous Science Foundation
CurveNote; Continuous Science Foundation
Episode: Beyond the PDF: Rowan Cockett on Reproducible, Composable Science
Raj Shukla
CTO at SymphonyAI; vertical AI company focusing on domain-specific AI agents and models
SymphonyAI
Episode: Beyond Prompts: Practical Paths to Self‑Improving AI
Lucas Thelosen
Co-founder of Gravity/Orion
Gravity/Orion
Episode: Orion at Gravity: Trustworthy AI Analysts for the Enterprise
Drew Gilson
Co-founder of Gravity/Orion
Gravity/Orion
Episode: Orion at Gravity: Trustworthy AI Analysts for the Enterprise
Jamie Knowles
Product Director for ER Studio
ER Studio
Episode: From Models to Momentum: Uniting Architects and Engineers with ER/Studio
Ryan Hirsch
Product Marketing Manager for ER Studio
ER Studio
Episode: From Models to Momentum: Uniting Architects and Engineers with ER/Studio
Aman Agarwal
Founder of OpenLit, an AI engineering tool built on OpenTelemetry.
OpenLit
Episode: Prompt Management, Tracing, and Evals: The New Table Stakes for GenAI Ops

Host

Tobias Macey
Host of the data-focused interview show, guiding conversations with industry leaders and tool developers.

Reviews

4.6 out of 5 stars from 392 ratings
  • All of the episodes are promotions of tools

    No one absolutely no one goes in depth of anything in this podcast, everyone only come and talk about their tools.

    Apple Podcasts
    2
    masterbatters
    United States8 months ago
  • 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.

    Apple Podcasts
    5
    Mbarton98
    United Statesa year ago
  • 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

    Apple Podcasts
    4
    Fkn2013
    United States3 years ago
  • Very insightful podcast!

    When you are looking for more knowledge and clarity in the world of data engineering/management, then you have come to the right place.

    Apple Podcasts
    5
    More Than Engineering
    Philippines3 years ago
  • 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.

    Apple Podcasts
    5
    Googleduser
    United States3 years ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

Listeners praise the mix of tool-focused and strategy discussions.
Tobias asks great, probing questions and draws practical takeaways.
Guests consistently bring high-level expertise with actionable insights.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#192
United Kingdom/Technology
Apple Podcasts
#37
Ukraine/Technology
Apple Podcasts
#44
Poland/Technology
Apple Podcasts
#66
India/Technology
Apple Podcasts
#76
Austria/Technology
Apple Podcasts
#96
United Arab Emirates/Technology

Talking Points

Recent interactions between the hosts and their guests.

Maximizing GPU Utilization: Heterogeneous Pipelines with Ray and Kubernetes
Q: What are the biggest challenges in maximizing hardware utilization for AI workloads?
Discussion of resource sharing between training and inference, multi-cloud capacity, elasticity, rack-level topology, and failure handling, with Ray as a coordinating layer across compute resources.
Maximizing GPU Utilization: Heterogeneous Pipelines with Ray and Kubernetes
Q: How has the Ray ecosystem evolved with Kubernetes and the broader compute stack?
The guest discusses the maturation of Kubernetes as the standard for orchestration, consolidation of the infrastructure stack, and Ray's integration with PyTorch, Kubernetes, and other tools to support diverse workloads.
Maximizing GPU Utilization: Heterogeneous Pipelines with Ray and Kubernetes
Q: So Robert, can you start by introducing yourself?
Robert introduces himself as a co-founder of Anyscale, explains Ray as an open-source distributed system for scaling AI workloads, and mentions the origins at Berkeley and the goal to commercialize Ray.
Treat Metering Like Finance: Building Data Platforms for Consumption Economics
Q: So Himant, can you start by introducing yourself?
I'm a Senior Product Manager at Salesforce focused on building data platforms that transform raw usage signals into revenue and growth levers for B2B business, working at the intersection of data engineering, subscription renewals, and business teams that rely on consumption data.
From Models to Momentum: Uniting Architects and Engineers with ER/Studio
Q: And in terms of the interfaces and personas that you're focused on, how does bringing design upfront factor into the user experience?
Jamie explains the user interface emphasizes visual diagrams (ER diagrams) to convey meaning universally, mapping logical models to physical implementations and code, and ensuring architects and engineers can collaborate with a single source of truth.

Audience Metrics

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Frequently Asked Questions About Data Engineering Podcast

What is Data Engineering Podcast about and what kind of topics does it cover?

A practical, practitioner-focused show examining data engineering tools, architectures, and workflows. Episodes tend to center on real-world scaling, automation, and governance challenges, with deep dives into data platforms, observability, AI-enabled data pipelines, and enterprise-grade tooling. Guests are often founders, product leads, or senior engineers from data tooling and platform companies, sharing concrete patterns, trade-offs, and lessons learned. The host steers conversations toward actionable takeaways for building reliable data systems at scale, making the show particularly valuable for data engineers, analytics engineers, and data platform leads evaluating new technologies or seeking pragmatic guidance. A notable strength is i... more

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Which podcasts are similar to Data Engineering Podcast?

These podcasts share a similar audience with Data Engineering Podcast:

1. DataFramed
2. Super Data Science: ML & AI Podcast with Jon Krohn
3. Talk Python To Me
4. The Real Python Podcast
5. Practical AI

How many episodes of Data Engineering Podcast are there?

Data Engineering Podcast launched 9 years ago and published 511 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on Data Engineering Podcast?

Recent guests on Data Engineering Podcast include:

1. Robert Nishihara
2. Himant Goyal
3. Rowan Cockett
4. Raj Shukla
5. Lucas Thelosen
6. Drew Gilson
7. Jamie Knowles
8. Ryan Hirsch

To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.

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