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Data Engineering Central Podcast

Data Engineering in Real Life
Data Engineering
Apache Iceberg
Delta Lake
Duckdb
Spark
Data Quality
Cloud Computing
Data Modeling
AI and Machine Learning
Databricks
Lake House
Artificial Intelligence
Open Source
Streaming Technology
Python
Polars
Software Engineering
ETL
Pandas
Streaming Technologies

Long Live the Data Engineer. No holds barred. Talking about Data Engineering news, topics, and general mayhem. dataengineeringcentral.substack.com

PublishesWeeklyEpisodes36Founded2 years ago
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Artwork for Data Engineering Central Podcast

Latest Episodes

The creator of Pandas and co-creator of Apache Arrow, Wes McKinney, joins the Data Engineering Central Podcast for an in-depth conversation about how modern data engineering came to exist, where AI is taking software development, and why good enginee... more

What happens when someone who started programming on a Commodore 64 watches AI reshape the entire data industry?

In this episode of the Data Engineering Central Podcast, I sit down with Dave Langer to explore nearly three decades of experience acros... more

In this episode of the Data Engineering Central Podcast, I sit down with David Jaitillake to explore the future of data engineering, analytics, and AI. David has spent nearly two decades working across data teams, from analyst roles in the early SQL ... more

In this episode of the Data Engineering Central Podcast, I sit down with Ethan, a maintainer of delta-rs and an expert in modern lakehouse architecture working in the pharmaceutical industry.

We discuss Ethan’s journey into tech and data engineering... more

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Recent Guests

David Jaitillake
Data engineer and entrepreneur with two decades of experience
Avora, Delphi, Cube, Quarry
Episode: Semantic Layers, Agents, and the Future of Analytics
Ethan Urbanski
Data Analytics Architect at Eli Lilly, Delta RS maintainer
Eli Lilly
Episode: The Future of the Lakehouse: Delta Lake, Rust, and Data Platforms at Scale
Jacob Matson
Engineer at MotherDuck, building a Cloud Data Warehouse on top of DuckDB
MotherDuck
Episode: Data, AI, and DuckDB
Ben Rogojan
Seattle Data guy, former Facebook data engineer
Independent / Consulting
Episode: Why I Left Facebook to Work for Myself
Matthew Housley
Author and data engineer; co-author of Fundamentals of Data Engineering; host of It's About Data podcast
Independent / Author and podcaster
Episode: Academic → CTO: What Actually Matters in Data (Matthew Housley)
Robert Pack
Databricks Developer Relations, formerly BASF data leader
Databricks
Episode: From Industrial Data at BASF to Delta Lake Committer
Kevin Martin
Former Apple supply chain professional, Substack writer, outdoor enthusiast
Independent (Substack: unmappedyear)
Episode: He Quit Apple After 13 Years
Daniel Aronovich
Founder/CEO with background in data science, Spark, and startup governance; co-founder of Vocalis and DataFlint
DataFlint; Vocalis; Spark Startup
Episode: Spark, AI, and the Future of Data Engineering with Daniel Aronovich
Matt Martin
Staff Engineer at State Farm, big data engineering and cloud specialist
State Farm
Episode: DuckDB, AI, and the Future of Data Engineering

Hosts

Dan Beach
Host of the Data Engineering Central Podcast
Dan Beecher
Host of the Data Engineering Central Podcast

Reviews

4.6 out of 5 stars from 5 ratings
  • Tough to Listen

    The topic of this podcast interests me, but the host of this podcast speaks too awkwardly in a bored-sounding tone. No offense intended, but I hope that the host can spice up his presentation a bit.

    Apple Podcasts
    3
    coolfactor
    Canada5 months ago

Listeners Say

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

Guests are typically senior practitioners with real-world experience.
Listeners appreciate the technical depth and practical tooling discussions.
Some listeners wish for a more energetic delivery.
The show is valuable for career and tooling guidance in data engineering.

Chart Rankings

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

Apple Podcasts
#206
Germany/Technology
Apple Podcasts
#164
Switzerland/Technology

Talking Points

Recent interactions between the hosts and their guests.

Semantic Layers, Agents, and the Future of Analytics
Q: What drew you to data engineering and how did you fall into it?
He started as an analyst using SQL Server, then transitioned into data engineering roles focusing on pipelines, data quality, and analytics, gradually building teams and later co-founding Avora, Delphi, Cube, and Quarry to pursue data observability and semantic-layer-driven analytics.
Semantic Layers, Agents, and the Future of Analytics
Q: Did you get a computer science degree? How did you go back to the beginning?
He studied maths at university, which provided a strong analytical foundation; he later moved into data through roles that leveraged SQL, Excel, and evolving data tooling, highlighting that formal CS isn't strictly necessary if you have solid mathematical grounding and hands-on SQL/data experience.
Spark, AI, and the Future of Data Engineering with Daniel Aronovich
Q: How did your early experiences in school and college shape your path into tech and data engineering?
I started with basic programming in school and built simple calculators, but I wasn't a hardcore computer nerd; I leaned toward physics and math, which eventually led me into signal processing and MATLAB. My first real break came through a role at Intel and later a move into Microsoft, where I gained exposure to 3D vision with RealSense and later Spark as I founded startups and built data-focused products.
He Quit Apple After 13 Years
Q: What circumstances led you to leave Apple after 13 years?
A toxic project in 2018 and escalating work-life pressures made me reassess my priorities. I built a long-term plan around substantial savings, which eventually allowed me to leave earlier than I expected, supported by a shift in my mindset toward FIRE and a passion for outdoor challenges.
DevOps vs ClickOps with Maxine Meurer
Q: What career advice would you give someone trying to break into tech today?
Maxine encourages people to try breaking into tech, emphasizing that self-doubt should not hold them back and that continuous learning and surrounding oneself with support is key.

Audience Metrics

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Frequently Asked Questions About Data Engineering Central Podcast

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

A practical, practitioner-focused show that centers on data engineering in the modern cloud era. Episodes frequently explore the evolution of the data stack (lakehouses, streaming, and lightweight tooling), delving into real-world migrations, tooling choices (Snowflake, dbt, DuckDB, Polars), and the impact of AI on learning, development, and governance. Guests and hosts share career journeys, leadership insights, and pragmatic patterns for building maintainable data platforms, with an emphasis on developer happiness, observable systems, and aligning data work with business outcomes. A standout aspect is the mix of deep technical discussion with accessible storytelling around career strategy, education, and community-building in the data eng... more

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Which podcasts are similar to Data Engineering Central Podcast?

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1. DataFramed
2. Super Data Science: ML & AI Podcast with Jon Krohn
3. The MAD Podcast with Matt Turck
4. Dwarkesh Podcast
5. The Pragmatic Engineer

How many episodes of Data Engineering Central Podcast are there?

Data Engineering Central Podcast launched 2 years ago and published 36 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 Central Podcast?

Recent guests on Data Engineering Central Podcast include:

1. David Jaitillake
2. Ethan Urbanski
3. Jacob Matson
4. Ben Rogojan
5. Matthew Housley
6. Robert Pack
7. Kevin Martin
8. Daniel Aronovich

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