Plumbers of Data Science: guest pitching info, reach and format

Should you pitch it?

Guest activity

Often has guests

65% of recent episode titles look like interviews

Episode length

49 min

Median of recent episodes. That is the commitment you would be asking for.

Publishing

Monthly

128 episodes · last 2026-07-23

Language

Not stated

This feed declares no language.

Where it's from

Not established

No .uk domain and no region in the feed language. Apple reports the storefront, not the show, so we do not guess.

Reach

61

Percentile among shows you could realistically get on. Not a download count.

Check whether they charge. Some shows sell guest slots rather than booking them, and rates in some fields run to thousands. Nothing in a podcast feed reliably says so, so we do not claim either way. Ask before you write the pitch.

Worth a pitch. This show publishes its own contact, sits outside the national chart, is independently published, and its recent episodes show it books guests.

What the show says about itself

Data Engineering is the plumbing of data science. Almost invisible, but super important and a big mess when done wrong. We talk about interesting Data Engineering trends and topics. I also train Data Engineering in my Data Engineering Academy at LearnDataEngineering.com

Recent episodes

Straight from the feed. The quickest way to judge whether your angle fits.

#129 Don't Become a Data Engineer Without Knowing These 9 Things
#128 How Data Engineering Has Changed Because of AI
#127 Is AI Making Us Worse Engineers? - with Dan Beach from Data Engineering Central
#126 The Cloud, Java, and the Future of Serverless – with Vadym Kazulkin
#125 AI Hype vs. Reality – with Christina Stathopoulos
#124 These Skills Get You a Data Consulting Job – with Tom Schamberger

This show publishes a contact

We hold the address this show publishes in its own feed. Addresses and drafted pitches are part of a plan. Browsing stays free, and we never send on your behalf.

Tell me when pitching opens