20 Best Data Engineering Podcasts to Listen to in 2024
Podcasts have become an invaluable resource for tech professionals. They offer a mix of expert advice, industry insights, and relatable stories that cater to both seasoned developers and those just starting out. Events and engineering conferences are another great way to stay involved.
Data engineering podcasts provide context, expertise, and advice on real-world applications. If you're on a quest for current, reliable knowledge, these podcasts are an excellent addition to your toolkit, offering insights that are both practical and forward-thinking.
Check out our top picks!
20 Best Data Engineering Podcasts
Listen to these data engineering podcasts for expert insights:
- Data Engineering Podcast with Tobias Macey
- Data Skeptic with Kyle Polich
- The Data Engineering Show by Firebolt Data Bros
- Data Brew by Databricks
- Software Engineering Daily by Software Engineering Daily
- Plumbers of Data Science with Andreas Kretz
- The Engineering Side of Data with Bob Haffner
- #IDataengineer by Pipeline Data Engineering Daily
- Data Futurology with Felipe Flores
- DataAware by Ascend
- The Data Exchange with Ben Lorica
- The Sequel Show by Census
- MLOps Community with Demetrios Brinkmann
- Data Platform Podcast by Syntio
- The Debrief with MJ Banias & Stephanie Gerk
- Data Driven by Data Driven
- Making Data Simple by IBM Big Data & Analytics Hub
- Super Data Science: ML & AI Podcast with Jon Krohn
- Data engineering and analytics for leaders by Durai
- The Data Stack Show by Rudderstack
Best Data Engineering Overview
1. Data Engineering Podcast with Tobias Macey
Summary:
This podcast stands as a beacon for those immersed in the dynamic world of data engineering. Tobias Macey brings a wealth of knowledge, sharing insights and trends that shape this ever-evolving field.
What You'll Learn:
Each episode unpacks the complexities of data engineering, covering everything from data infrastructure to analytics. Tobias Macey expertly guides discussions on modern data management techniques, ensuring listeners walk away with actionable insights.
Why You Should Listen:
Tobias' ability to explain intricate concepts in an accessible manner makes this a must-listen. It's not just about staying current with the industry; it's about gaining a deeper understanding of the principles and practices that drive data engineering.
Best Episode:
An episode that particularly stands out is "Designing Data Transfer Systems That Scale" This episode dives into how data transfer systems are critical to data enablement and how building them to support large volumes of information is a complex endeavor.
Links To Listen:
About The Host:
Tobias Macey is a seasoned data engineer with a passion for sharing knowledge. His expertise in the field is evident in every episode.
Listener’s Review:
“Found this podcast by accident and now can’t do without it. Very knowledgeable host and guesses” - SteveT3ch
2. Data Skeptic with Kyle Polich
Summary:
Kyle Polich's Data Skeptic takes listeners through the world of data science and engineering with a focus on skeptical and critical thinking. Ideal for those who want to understand how data impacts our world.
What You'll Learn:
The podcast covers a range of topics, from data analysis to machine learning, statistics, and data engineering. Kyle's approachable style makes complex topics accessible to a broader audience, fostering a deeper appreciation for data science.
Why You Should Listen:
Kyle's unique perspective encourages listeners to question and critically evaluate data practices and trends. This approach is invaluable for anyone looking to develop a keen eye for data analysis and engineering.
Best Episode:
"Uncontrollable AI Risks" – in this episode, Darren shared his thoughts on AGI's achievements in the coming years. He defined AGI and discussed how to differentiate an AGI system. He also shared whether AI needs consciousness to be AGI.
Links To Listen:
About The Host:
Kyle Polich is a data scientist with a talent for making complex topics relatable. His background in skepticism adds a unique flavor to the show.
3. The Data Engineering Show by Firebolt Data Bros
Summary:
This podcast, hosted by the Firebolt Data Bros, is a practical guide for anyone in the data engineering field. It combines expertise with engaging discussions to explore the nuances of data engineering.
What You'll Learn:
Listeners gain insights into the latest tools, technologies, and best practices in data engineering. The show offers a perfect blend of theoretical knowledge and practical application, ideal for professionals looking to enhance their skills.
Why You Should Listen:
The Firebolt Data Bros' enthusiasm for data engineering is contagious. They bring fresh perspectives, making it an enlightening experience for listeners at any level of expertise.
Best Episode:
A highlight is the episode "Data Engineering from the early 2000s till today". It talks about the data engineering challenges that existed two decades ago and still exist today.
Links To Listen:
About The Host:
The Firebolt Data Bros, experts in their field, are known for their dynamic approach to data engineering.
4. Data Brew by Databricks
Summary:
Data Brew by Databricks offers a deep dive into data engineering. It stands out for its focus on the latest trends and technologies in the industry, making it an essential resource for professionals and enthusiasts alike.
What You'll Learn:
Listeners will gain insights into various aspects of data engineering, from data management strategies to innovative analytics techniques. The podcast covers a wide array of topics, ensuring listeners stay abreast of the latest developments in the field.
Why You Should Listen:
Databricks' expertise in the field of data engineering is unmatched. Their podcast not only educates but also inspires, making it a valuable resource for anyone serious about mastering the art of data engineering.
Best Episode:
The episode "Data Driven Software" is particularly noteworthy. It focuses on machine learning, from research to production. We will interview folks in academia and industry to discuss topics such as data ethics, production-grade infrastructure for ML, hyperparameter tuning, AutoML, and many more.
Links To Listen:
About The Host:
The team at Databricks is renowned for its expertise in data engineering. They bring a wealth of experience and knowledge to each episode.
5. Software Engineering Daily by Software Engineering Daily
Summary:
Software Engineering Daily bridges the gap between software engineering and data engineering. It's an ideal podcast for those interested in the intersection of these two pivotal fields.
What You'll Learn:
The podcast covers various topics, from software development practices to the latest data engineering technologies. It provides listeners with a comprehensive overview of both domains.
Why You Should Listen:
The unique blend of software and data engineering topics makes this podcast invaluable for professionals in either or both fields. The insightful discussions help listeners stay ahead in the rapidly evolving tech landscape.
Best Episode:
"Data Reliability" is a standout episode that discusses the importance of the accuracy and reliability of the data they are using.
Links To Listen:
About The Host:
Software Engineering Daily is hosted by a team of seasoned software engineers who bring their extensive experience to the table.
Listener’s Review:
“Wide range of topics from cloud, server-less, crypto currency to web assembly and front end.” - Rob Colburn
6. Plumbers of Data Science with Andreas Kretz
Summary:
Plumbers of Data Science, hosted by Andreas Kretz, offers a practical approach to data engineering. It focuses on the day-to-day challenges and solutions encountered in the field.
What You'll Learn:
Listeners will learn about the tools and techniques used in data engineering, with a focus on real-world applications. Andreas Kretz brings a hands-on perspective, making complex concepts easier to grasp.
Why You Should Listen:
Andreas' practical approach and easy-to-understand explanations make this podcast a go-to resource for anyone looking to enhance their data engineering skills.
Best Episode:
The episode titled "How to Realize a Data Strategy Like a Pro" is particularly useful, providing listeners with tips and tricks for improving the efficiency of their data workflows.
Links To Listen:
About The Host:
Andreas Kretz is a data engineer with a passion for teaching. He brings a wealth of knowledge and experience to each episode.
7. The Engineering Side of Data with Bob Haffner
Summary:
Bob Haffner's podcast offers a comprehensive look at the multifaceted world of data engineering, focusing on technical and strategic aspects.
What You'll Learn:
The podcast is a treasure trove of knowledge, covering everything from data infrastructure design to advanced analytics. Listeners will gain insights into effective data management strategies and the latest tools and technologies in data engineering.
Why You Should Listen:
Bob Haffner brings a unique blend of expertise and practical experience, making this podcast an essential resource for professionals looking to deepen their understanding of data engineering.
Best Episode:
"Data Quality with JP Urrutia" stands out for its clarity and depth, helping listeners understand these critical components of data infrastructure.
Links To Listen:
About The Host:
Bob Haffner is a seasoned data engineer passionate about sharing his knowledge.
8. #IDataengineer by Pipeline Data Engineering Daily
Summary:
This podcast, produced by Pipeline Data Engineering Daily, offers daily insights into the world of data engineering, making it a go-to resource for staying current.
What You'll Learn:
Listeners will explore a range of topics, from data pipeline optimization to the latest in cloud-based data engineering solutions. The show provides a perfect blend of theoretical knowledge and practical application.
Why You Should Listen:
The daily format ensures that content is always fresh and relevant, making it an ideal resource for data engineering professionals looking to stay on top of industry developments.
Best Episode:
"Data Engineering Confession #10" offers a fascinating look at how artificial intelligence is transforming the field, providing listeners with a glimpse into the future of data engineering.
Links To Listen:
About The Host:
The team behind Pipeline Data Engineering Daily is known for its expertise in data engineering.
9. Data Futurology with Felipe Flores
Summary:
Felipe Flores' Data Futurology is a forward-thinking podcast that delves into the future of data engineering, offering insights into upcoming trends and technologies.
What You'll Learn:
The podcast covers various topics, from data governance to machine learning, offering listeners a comprehensive view of the data engineering landscape.
Why You Should Listen:
Felipe Flores' focus on the future of data engineering makes this podcast a must-listen for those looking to stay ahead in the field.
Best Episode:
"Becoming a Successful Data Analytics and AI Leader" is a standout episode, exploring the world of data analytics and AI leadership, sharing insights on building successful teams, embracing diversity, fostering a growth mindset, and navigating challenges in data analytics and AI.
Links To Listen:
About The Host:
Felipe Flores is a data engineering visionary with a keen eye for emerging trends.
10. DataAware by Ascend
Summary:
DataAware by Ascend focuses on the broader impacts of data engineering on businesses and technology trends, providing listeners with a holistic view of the data landscape.
What You'll Learn:
The podcast covers various topics, including data pipeline automation, effective data management strategies, and the latest in cloud technology. It's full of insights into the technical and strategic aspects of data engineering.
Why You Should Listen:
Ascend's perspective on data engineering is comprehensive and forward-thinking, making this podcast a valuable resource for professionals aiming to stay ahead in their field.
Best Episode:
"Data Engineering Trends" is a must-listen episode that provides an in-depth look at emerging trends and the evolving role of data engineers in the tech industry.
Links To Listen:
About The Host:
The team at Ascend brings a wealth of experience in data engineering, offering listeners diverse and expert perspectives.
11. The Data Exchange with Ben Lorica
Summary:
The Data Exchange with Ben Lorica delves into the latest trends and technologies in data engineering, AI, and machine learning, providing an in-depth analysis of these rapidly evolving fields.
What You'll Learn:
Listeners will gain insights into the latest research and applications in data science and engineering, AI ethics, and machine learning. The podcast offers a deep dive into how these technologies are shaping industries and the future of data engineering.
Why You Should Listen:
Ben Lorica's expertise and the high-caliber guests he hosts make this podcast an indispensable resource for those looking to deepen their understanding of data engineering and related fields.
Best Episode:
"Unleashing the Power of AI and Data" stands out for its critical examination of the ethical implications of AI and data engineering practices, offering valuable perspectives for responsible technology development.
Links To Listen:
About The Host:
Ben Lorica is a leading figure in the data engineering community, known for his deep knowledge and insightful analysis.
Listener’s Review:
“No one monitors the pulse of data trends better than Ben. This podcast and his other Gradient Flow content are indispensable for those of us in the data world.” - Buck Trends
12. The Sequel Show by Census
Summary:
The Sequel Show by Cencus offers a fresh and engaging take on data engineering, focusing on practical applications and real-world case studies.
What You'll Learn:
This podcast gives listeners practical insights into data infrastructure, analytics, and the effective use of data for business decision-making. It's beneficial for those who want to see how data engineering principles are applied in various industries.
Why You Should Listen:
Cencus' approach to data engineering is both informative and practical, making it an ideal resource for professionals who are looking to apply data engineering concepts in real-world scenarios.
Best Episode:
"The Value of Investing in Your Data" is a highlight, offering valuable advice on creating efficient and robust data pipelines—a critical skill for any data engineer.
Links To Listen:
About The Host:
The team at Census brings a dynamic and hands-on approach to data engineering, sharing insights from their extensive experience in the field.
13. MLOps Community with Demetrios Brinkmann
Summary:
MLOps Community, hosted by Demetrios Brinkmann, focuses on the intersection of machine learning and operations, offering listeners a deep dive into MLOps—a crucial area in modern data engineering.
What You'll Learn:
The podcast explores topics like model deployment, scaling machine learning operations, and best practices in MLOps, providing listeners with strategic insights and practical guidance.
Why You Should Listen:
Demetrius Brinkmann brings a wealth of knowledge and industry experience, making this podcast a valuable resource for understanding the complexities of integrating machine learning into data engineering workflows.
Best Episode:
"How Daft Embeds Models and Revolutionizes Data Processing." In this episode, Sammy shares his fascinating journey in the autonomous vehicle industry, highlighting his involvement in two successful startup acquisitions by Tesla and Toyota.
Links To Listen:
About The Host:
Demetrios Brinkmann is known for his expertise in MLOps and data engineering.
14. Data Platform Podcast by Syntio
Summary:
Data Platform Podcast by Sintio offers insights into the development and management of data platforms, a core aspect of data engineering.
What You'll Learn:
Listeners will learn to build scalable data platforms, data governance, and emerging technologies in data infrastructure.
Why You Should Listen:
Sintio's focus on data platforms makes this podcast particularly relevant for those interested in the architectural aspects of data engineering and those looking to build robust, scalable data solutions.
Best Episode:
"Data Engineering Myths Debunked" On this episode of the Data Platform Podcast, Jason & Iva try to unravel the question of "what a data engineer is" and discuss other common myths and misconceptions. Listen in to see if they can solve the mystery!
Links To Listen:
About The Host:
The team at Syntio brings a deep understanding of data platform engineering, sharing their extensive experience and insights with listeners.
15. DEbrief by DEbrief
This podcast serves as a comprehensive guide to the evolving world of data engineering, offering insights into the latest trends and technologies.
What You'll Learn:
Listeners can expect to learn about new tools, best practices, and insights into handling big data, data pipelines, and data architectures from industry experts.
Why You Should Listen:
For those looking to stay ahead in the data engineering field, this podcast offers technical knowledge and practical advice from leading professionals.
Best Episode:
"001. MQs, storages, and data frames" stands out for its in-depth discussion on effective strategies for managing complex data frames.
Links To Listen:
About The Host:
The team at DEbrief brings a wealth of experience in data engineering, offering listeners a rich perspective backed by practical experience and technical expertise.
16. Data Driven by Data Driven
Summary:
Data Driven focuses on how data is transforming businesses and industries, offering listeners a deep dive into the practical applications of data engineering.
What You'll Learn:
This podcast covers everything from data management to predictive analytics, providing insights into how data-driven approaches reshape the corporate world.
Why You Should Listen:
Data-Driven stands out for its focus on the business impact of data engineering, making it an essential listen for professionals who seek to leverage data for strategic advantages.
Best Episode:
"Entrepreneurship & Data Engineering in the Web 3 Era" highlights valuable insights into integrating data engineering with business objectives for optimal results.
Links To Listen:
About The Host:
The team behind Data Driven are experts in data technology and business strategy.
Listener’s Review:
“Excellent show right up my alley of data science. I have been looking into supercomputers and the endless possibilities of what our future holds. Thx for delivering the goods!!!!” - Shaolin Soprano
17. Making Data Simple by IBM Big Data & Analytics Hub
Summary:
Making Data Simple by IBM Big Data & Analytics Hub simplifies complex data engineering concepts, making them accessible to a wider audience.
What You'll Learn:
Listeners will explore various aspects of data engineering, including big data analytics, AI integration, and data security. The podcast breaks down technical jargon into understandable language.
Why You Should Listen:
IBM's authority in data engineering ensures that listeners receive well-researched and reliable information, making this podcast a trustworthy source for learning.
Best Episode:
"Cracking the AI Code" is particularly effective in clarifying the concepts and applications of big data in modern businesses.
Links To Listen:
About The Host:
Hosted by experts at IBM Big Data & Analytics Hub, this podcast benefits from their deep industry knowledge and experience.
18. Super Data Science: ML & AI Podcast with Jon Krohn
Summary:
Jon Krohn's Super Data Science Podcast focuses on machine learning and artificial intelligence, offering listeners a deep dive into these critical aspects of data engineering.
What You'll Learn:
The podcast covers a broad range of topics, including the latest trends in ML and AI, data analytics techniques, and insights into data engineering's evolving landscape.
Why You Should Listen:
Jon Krohn's expertise and the high-caliber guests he interviews provide a rich, informative experience, making this podcast a must for those looking to deepen their understanding of ML and AI in data engineering.
Best Episode:
"2024 Data Science Trend Predictions" 2024 data science trends take the spotlight in this special episode, where Jon joins Sadie St. Lawrence to analyze last year's predictions and delve into the emerging technologies reshaping the field.
Links To Listen:
About The Host:
Jon Krohn is a respected figure in the data science community, known for his deep knowledge and engaging presentation style.
Listener’s Review:
“I am addicted to listening to Jon Krohn, I found your podcast a month ago, till now I have listened to about 100 episodes! Do you believe that?” - Dr. Nooruldeen
19. Data engineering and analytics for leaders by Durai
Summary:
Hosted by Durai, this podcast offers a strategic perspective on data engineering and analytics, tailored for leaders and decision-makers in the field.
What You'll Learn:
Listeners will explore topics such as leadership in data teams, strategic planning for data projects, and how to effectively leverage data analytics for business growth.
Why You Should Listen:
Durai's focus on leadership and strategy provides a unique angle, making it a valuable resource for those in managerial or leadership roles within data engineering.
Best Episode:
"Fostering Data Literacy in your organization" is particularly insightful; by offering strategies for data literacy, leaders may be able to make sense of the data they collect, leading to better decision-making, missed opportunities, and, ultimately, a loss of revenue.
Links To Listen:
About The Host:
Durai is known for his expertise in leading data projects and teams.
20. The Data Stack Show by Rudderstack
Summary:
The Data Stack Show, presented by Rudderstack, delves into various aspects of data engineering, offering listeners an in-depth look at the technical and business sides of the field.
What You'll Learn:
This podcast covers topics ranging from data pipeline architecture to analytics strategies, providing listeners with a well-rounded understanding of the data engineering landscape.
Why You Should Listen:
Rudderstack's expertise in data engineering ensures that the podcast offers practical, actionable insights, making it a valuable resource for professionals in the field.
Best Episode:
"Discussing Data Roles and Solving Data Problems" is an episode that highlights key strategies for data roles and solving data problems.
Links To Listen:
About The Host:
The team at Rudderstack brings a wealth of experience and knowledge in data engineering, sharing their insights with a broad audience.
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