Data Engineering Podcast
by Tobias Macey
Is this your podcast?Tobias Macey is an independent podcast creator known for his expertise in data engineering and technology. He has established himself as a prominent voice in the field, exploring intricate topics related to data management and infrastructur…
Insights from recent episode analysis
Audience Interest
- data engineering techniques
- automation in data workflows
Podcast Focus
- tools for data engineering
- challenges in data engineering
Publishing Consistency
- 509 episodes produced
- active for 9 years
Platform Reach
- available on major podcast platforms
- growing listener base
Insights are generated by CastFox AI using publicly available data, episode content, and proprietary models.
Most discussed topics
Brands & references
Total monthly reach
Estimated from 6 chart positions in 6 markets.
By chart position
- 🇧🇷BR · Technology#6310K to 30K
- 🇮🇳IN · Technology#1481K to 10K
- 🇰🇷KR · Technology#1571K to 10K
- 🇿🇦ZA · Technology#3110K to 30K
- 🇰🇪KE · Technology#136500 to 3K
- Per-Episode Audience
Est. listeners per new episode within ~30 days
12K to 43K🎙 ~2x weekly·509 episodes·Last published 2mo ago - Monthly Reach
Unique listeners across all episodes (30 days)
23K to 86K🇧🇷35%🇿🇦35%🇮🇳12%+3 more - Active Followers
Loyal subscribers who consistently listen
6.9K to 26K3.9K real followers tracked across platforms
Market Insights
Platform Distribution
Reach across major podcast platforms, updated hourly
Total Followers
—
Total Plays
—
Total Reviews
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* Data sourced directly from platform APIs and aggregated hourly across all major podcast directories.
On the show
From 15 epsHost
Recent guests
Recent episodes
Building the Context Flywheel for AI Data Agents
Jul 6, 2026
1h 00m 34s
Holding Kafka Right: Product-Friendly Streaming with TypeStream
Jun 18, 2026
49m 51s
Text to Data Products: Kaarvi’s End-to-End AI for Ingestion, Quality, and Dashboards
Jun 8, 2026
52m 52s
Scaling Graph Analytics Without ETL: Inside PuppyGraph’s Architecture
Jun 1, 2026
54m 20s
Maximizing GPU Utilization: Heterogeneous Pipelines with Ray and Kubernetes
May 6, 2026
58m 34s
Social Links & Contact
Official channels & resources
Official Website
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RSS Feed
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| Date | Episode | Topics | Guests | Brands | Places | Keywords | Sponsor | Length | |
|---|---|---|---|---|---|---|---|---|---|
| 7/6/26 | AI agentsdata management+3 | Prukalpa Sankar | Atlan | — | context flywheelAI agents+3 | — | 1h 00m 34s | ||
| 6/18/26 | Kafkastreaming systems+5 | Jevin Maltais | TypeStreamZapier+2 | — | Kafkastreaming+5 | DataDriven.io | 49m 51s | ||
| 6/8/26 | AIdata platform+4 | Shravan Gunda | Kaarvi AI | — | AI-nativedata ingestion+4 | DataDriven.io | 52m 52s | ||
| 6/1/26 | graph analyticsdata architecture+4 | Weimo Liu | PuppyGraphIceberg+4 | — | graph queryingCypher+6 | DataDriven.io | 54m 20s | ||
| 5/6/26 | GPU utilizationheterogeneous pipelines+5 | Robert Nishihara | AnyscaleRay+4 | — | GPUAI+8 | — | 58m 34s | ||
| 4/7/26 | AI in data engineeringproductivity gains+4 | Gleb Mezhanskiy | Datafold | — | AI-firstdata engineering+8 | — | 59m 24s | ||
| 3/29/26 | data platformsconsumption economics+4 | Himant Goyal | SalesforceData Engineering Podcast | — | data platformmetering+5 | — | 50m 19s | ||
| 3/22/26 | reproducible sciencedata systems+5 | Rowan Cockett | JupyterJupyter Book+5 | — | reproducibility crisisdata integrity+5 | — | 42m 40s | ||
| 3/16/26 | self-improving AIagentic systems+5 | Raj Shukla | SymphonyAIData Engineering Podcast+1 | — | self-improving AIfeedback loops+5 | — | 1h 01m 50s | ||
| 3/8/26 | trustworthy AIagentic analytics+4 | Lucas ThelosenDrew Gilson | OrionGravity+2 | public companies | AI analystsdata semantics+5 | — | 1h 05m 01s | ||
| 3/2/26 | enterprise data modelingsemantic models+4 | Jamie KnowlesRyan Hirsch | ER/StudioData Engineering Podcast | — | data modelingsemantic drift+3 | — | 45m 02s | ||
| 2/22/26 | AI memoryagentic memory+4 | Vasilije "Vas" Markovich | RedisQdrant+3 | — | agentic memoryknowledge sharing+6 | — | 57m 47s | ||
| 2/15/26 | GenAI OpsLLM-powered applications+4 | Aman Agarwal | OpenLitOpenTelemetry | — | LLMOpenTelemetry+6 | — | 50m 43s | ||
| 2/8/26 | AI readinessapplication modernization+3 | Shilpa Kolhar | Application Modernization Platform (AMP)Atlas Vector Search+1 | — | MongoDBAMP+3 | — | 46m 45s | ||
| 2/1/26 | version-controlled SQL databasedata systems+4 | Tim Sehn | DoltHubMySQL+4 | — | Doltversion control+6 | Retool | 56m 53s |
Showing 15 of 15
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Distribution & Reach
About the show, platforms, and key insights.
Distribution & Reach
About the show, platforms, and key insights.
Tobias Macey is an independent podcast creator known for his expertise in data engineering and technology. He has established himself as a prominent voice in the field, exploring intricate topics related to data management and infrastructure. The Data Engineering Podcast stands out for its in-depth exploration of the tools, techniques, and challenges faced by data engineers. Covering subjects such as databases, workflows, automation, and data manipulation, the show features interviews with industry experts and practitioners, providing practical insights into the evolving landscape of data engineering. Listeners of the podcast include data professionals, engineers, and technology enthusiasts who seek to deepen their understanding of data practices. They value the show's accessible discussions and expert insights, making it a vital resource for anyone looking to navigate the complexities of data engineering.
By the numbers
- Total followers: 3.9K
- Total plays: 138K
- Total reviews: 146
Platforms
TuneIn
- Followers: 173
Castbox
- Followers: 3.6K
- Plays: 138K
- Reviews: 4
Podcast App
- Followers: 149
- Reviews: 142
Audience
family, professionals
Key insights
What the show covers
- tools for data engineering
- challenges in data engineering
- workflows in data processing
- insights from industry experts
Audience interests
- data engineering techniques
- automation in data workflows
- database management strategies
- data manipulation methods
Platform reach
- available on major podcast platforms
- growing listener base
- focused on technology education
- community engagement through discussions
Publishing consistency
- 509 episodes produced
- active for 9 years
- weekly or more often
- consistent content delivery
Chart history for Data Engineering Podcast
Peaked at #31 in South Africa, currently #31 in South Africa.
| Market | Genre | Peak | Current | Trend |
|---|---|---|---|---|
| South Africa | — | #31 | #31 | — |
| Brazil | — | #63 | #63 | — |
| KE | — | #136 | #136 | — |
| India | — | #148 | #148 | — |
| South Korea | — | #157 | #157 | — |
| Denmark | — | #175 | #175 | — |
Chart Positions
6 placements across 6 markets.
Chart Positions
6 placements across 6 markets.