Rephonic
Artwork for Data Engineering Central Podcast

Data Engineering Central Podcast

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

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

PublishesWeeklyEpisodes21Foundeda year ago
Number of ListenersCategories
NewsTechnologyTech News

Listen to this Podcast

Artwork for Data Engineering Central Podcast

Latest Episodes

In this episode, I sit down with Matt Martin, Staff Engineer, data architect, ETL practitioner, and author of a new book on DuckDB coming soon, to talk about the past, present, and future of data engineering.

Matt has spent decades building and arch... more

In this episode of Data Engineering Central, I sit down with a veteran Software Engineer John Crickett; with decades of experience in the industry to unpack what really matters in building a long and successful engineering career.

We talk about how ... more

In this episode of the Data Engineering Central Podcast, I sit down with Yuki (Yuki Kakegawa) to talk about his journey into tech, the tools and platforms he’s worked with, and where he thinks data engineering and AI are headed next.

We cover:

• Ho... more

In this episode of Data Engineering Central, I sit down with Bart Konieczny — data engineer, distributed systems expert, and well-known author in the Data and Spark ecosystem — for a deep technical conversation about modern data engineering.

We cove... more

Key Facts

Accepts Guests
Contact Information
Podcast Host
Number of Listeners
Find out how many people listen to this podcast per episode and each month.

Similar Podcasts

People also subscribe to these shows.

Software Engineering Daily
Software Engineering DailySoftware Engineering Daily
Pivot
PivotNew York Magazine

Recent Guests

Bart Konieczny
Author, Databricks specialist, data engineering consultant
Independent consultant / Databricks expert
Episode: Spark, Lakehouse & AI: A Deep Conversation with Bart Konieczny
R. Tyler Croy
Open source developer and maintainer of Delta RS
Buoyant Data
Episode: The Lakehouse Architecture: Multimodal Data, Delta Lake, and the Future of Data Engineering (with R. Tyler Croy)

Hosts

Daniel Beecher
Host of the Data Engineering Central Podcast; data engineering practitioner and educator with a focus on practical tooling and career growth.
Daniel Beach
Host of Data Engineering Central Podcast; focuses on data engineering trends, tooling, and Lake House concepts with industry insights.

Reviews

4.3 out of 5 stars from 3 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
    Canada2 months ago

Listeners Say

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

Guests bring strong hands-on experience in data tooling.
The host speaks clearly and presents topics with depth.
Occasional pacing can feel monotone for some listeners.
The conversations are technically rich and practical.

Chart Rankings

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

Apple Podcasts
#236
France/Technology
Apple Podcasts
#246
Germany/Technology
Apple Podcasts
#54
Poland/Technology
Apple Podcasts
#118
Netherlands/Technology
Apple Podcasts
#147
Spain/Technology
Apple Podcasts
#195
Ukraine/Technology

Talking Points

Recent interactions between the hosts and their guests.

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.
DevOps vs ClickOps with Maxine Meurer
Q: What do you think about AI and its impact on tech jobs?
Maxine believes AI will change the landscape of coding jobs, leading to a greater need for reviewers rather than writers, as AI-generated code will need quality checks.
DevOps vs ClickOps with Maxine Meurer
Q: How did you get into tech?
Maxine transitioned into tech after realizing teaching wasn't sustainable due to COVID and the opportunities in coding looked promising, especially for working parents.
The Evolution of Software, Streaming, and Data Engineering with Robin Moffatt
Q: Do you think there's going to be a net increase in the number of programmers due to AI?
I believe there's a responsibility on juniors to embrace these tools like AI while also understanding their limitations as the industry evolves.
The Evolution of Software, Streaming, and Data Engineering with Robin Moffatt
Q: Can you take me back to like little you? How did you even get into tech?
I was always a nerd, starting from my father's BBC Micro and building websites early on, ultimately leading to a music degree before diving into tech.

Audience Metrics

Listeners, social reach, demographics and more for this podcast.

Listeners per Episode
Gender Skew
Location
Interests
Professions
Age Range
Household Income
Social Media Reach

Frequently Asked Questions About Data Engineering Central Podcast

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

A pragmatic show focused on data engineering, lakehouse architectures, and modern tooling, with frequent dives into open-source projects, SQL and Python ecosystems, and practical career guidance for data professionals. Episodes center on real-world platform decisions (Delta Lake, Iceberg, DuckDB, Polars), evolving workflows (streaming vs batch, single-node vs cluster), and the impact of AI on tooling and content creation. Notable strengths include candid host-guest dynamics, depth on tooling trade-offs, and a consistent emphasis on fundamentals, open-source contributions, and mentoring. This mix is likely to appeal to hands-on data engineers, platform architects, and engineers evaluating next-template stacks or seeking pragmatic career and ... more

Where can I find podcast stats for Data Engineering Central Podcast?

Rephonic provides a wide range of podcast stats for Data Engineering Central Podcast. We scanned the web and collated all of the information that we could find in our comprehensive podcast database. See how many people listen to Data Engineering Central Podcast and access YouTube viewership numbers, download stats, audience demographics, chart rankings, ratings, reviews and more.

How many listeners does Data Engineering Central Podcast get?

Rephonic provides a full set of podcast information for three million podcasts, including the number of listeners. View further listenership figures for Data Engineering Central Podcast, including podcast download numbers and subscriber numbers, so you can make better decisions about which podcasts to sponsor or be a guest on. You will need to upgrade your account to access this premium data.

What are the audience demographics for Data Engineering Central Podcast?

Rephonic provides comprehensive predictive audience data for Data Engineering Central Podcast, including gender skew, age, country, political leaning, income, professions, education level, and interests. You can access these listener demographics by upgrading your account.

How many subscribers and views does Data Engineering Central Podcast have?

To see how many followers or subscribers Data Engineering Central Podcast has on Spotify and other platforms such as Castbox and Podcast Addict, simply upgrade your account. You'll also find viewership figures for their YouTube channel if they have one.

Which podcasts are similar to Data Engineering Central Podcast?

These podcasts share a similar audience with Data Engineering Central Podcast:

1. Data Engineering Podcast
2. The Analytics Engineering Podcast
3. Software Engineering Daily
4. Pivot
5. The Weekly Show with Jon Stewart

How many episodes of Data Engineering Central Podcast are there?

Data Engineering Central Podcast launched a year ago and published 21 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

How do I contact Data Engineering Central Podcast?

Our systems regularly scour the web to find email addresses and social media links for this podcast. We scanned the web and collated all of the contact information that we could find in our podcast database. But in the unlikely event that you can't find what you're looking for, our concierge service lets you request our research team to source better contacts for you.

Where can I see ratings and reviews for Data Engineering Central Podcast?

Rephonic pulls ratings and reviews for Data Engineering Central Podcast from multiple sources, including Spotify, Apple Podcasts, Castbox, and Podcast Addict.

View all the reviews in one place instead of visiting each platform individually and use this information to decide if a show is worth pitching or not.

How do I access podcast episode transcripts for Data Engineering Central Podcast?

Rephonic provides full transcripts for episodes of Data Engineering Central Podcast. Search within each transcript for your keywords, whether they be topics, brands or people, and figure out if it's worth pitching as a guest or sponsor. You can even set-up alerts to get notified when your keywords are mentioned.

What guests have appeared on Data Engineering Central Podcast?

Recent guests on Data Engineering Central Podcast include:

1. Bart Konieczny
2. R. Tyler Croy

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.

Find and pitch the right podcasts

We help savvy brands, marketers and PR professionals to find the right podcasts for any topic or niche. Get the data and contacts you need to pitch podcasts at scale and turn listeners into customers.
Try it free for 7 days