Top 10 Data Engineering Conferences in 2025

2. Google Cloud Next

• Date: April 9 - 11, 2025
• Location: Mandalay Bay Convention Center, Las Vegas, Nevada, USA, & Online
• Cost: Free (Virtual) / USD 299 - USD 2,099

Google Cloud Next is a premier event showcasing Google Cloud’s latest advancements in data engineering, AI/ML, and cloud solutions. Attendees can explore cutting-edge innovations through keynotes, demos, workshops, and technical sessions. The event features expert-led presentations, customer success stories, hands-on learning labs, and networking opportunities with industry leaders. From deep technical insights to strategic discussions, it offers a comprehensive experience for cloud professionals looking to enhance their skills and stay ahead in the industry.

3. MDS Fest 3.0

• Date: May 5 - 9, 2025
• Location: Virtual
• Cost: Free

MDS Fest is a virtual conference celebrating the modern data stack, featuring expert talks on key industry challenges and innovations. Topics include building data-driven organizations, scaling infrastructure efficiently, ensuring data quality, improving data literacy, and advancing data careers. Attendees will gain insights into best practices, real-world use cases, and strategies for optimizing data workflows and driving business value.

4. Data Innovation Summit

• Date: May 7 - 8, 2025
• Location: Kistamässan, Stockholm, Sweden and virtual
• Cost: EUR 249 - EUR 549

The Data Innovation Summit showcases the latest advancements in Data Science, AI, and Machine Learning through real-world case studies, cutting-edge research, and hands-on technology showcases. Attendees will explore applied and generative AI, human-centered design, and strategies for deploying production-ready AI solutions. Key topics include data infrastructure, large-scale data preparation, ethical AI, and governmental investments shaping the industry. With a focus on practical applications and innovation, this event provides insights into building intuitive AI interfaces, optimizing workflows, and leveraging AI-driven decision-making to drive business growth.

5. World Data Summit

• Date: May 21 - 23, 2025
• Location: Amsterdam, The Netherlands
• Cost: EUR 2,050.95

The World Data Summit is a premier data engineering conference focused on building data-driven organizations through advanced data management strategies. Key topics include data governance, warehouse automation, Kappa architecture, and open-source data distribution. Experts will also explore machine learning applications, privacy and ethics in data, and strategies for improving data literacy and leadership. Featuring insights from senior industry leaders, this event offers a deep dive into the future of data engineering and analytics.

6. Snowflake Summit

• Date: June 2-5, 2025
• Location: San Francisco, California
• Cost: USD 1,495 - USD 2,495

This four-day Snowflake Summit is a must-attend event for data professionals. It features inspiring keynotes, expert-led breakout sessions, and a dynamic expo. Attendees will dive into cutting-edge topics like AI, machine learning, data engineering, DevOps, and next-gen data architectures, including lakehouses and data meshes. With a strong focus on innovation, governance, and real-world applications, this event offers unparalleled networking opportunities with industry leaders, peers, and top Snowflake partners, making it the ultimate destination for those looking to stay ahead in the data-driven era.

7. AI and Big Data Expo

• Date: June 4 - 5, 2025
• Location: Santa Clara Convention Center, California, USA
• Cost: Free (Expo Pass)

The AI and BIG Data Expo will showcase cutting-edge technologies from hundreds of exhibitors, with over 250 speakers sharing industry knowledge and real-life experiences. You will learn topics such as Enterprise AI, Machine Learning, Security, Ethical AI, Deep Learning, Data Ecosystems, and NLP. The event is co-located with other tech events, including those focused on Edge Computing, IoT, Cyber Security & Cloud, Digital Transformation, Data Centers, Intelligent Automation, and Unified Communications.

8. Data + AI Summit by Databricks

• Date: June 9 - 12, 2025
• Location: Hybrid - San Francisco, California, US, and available online
• Cost: USD 1,395 - USD 1,895 in-person. Free for virtual admission

The Data + AI Summit, hosted by Databricks, brings together data engineers, data scientists, analysts, and leaders to explore the latest advancements in data and AI technologies. The summit includes hands-on training, inspiring keynotes, and sessions led by industry pioneers covering topics such as machine learning, data engineering, analytics, and open-source technologies. Attendees can expect panel discussions, networking, and workshops on data engineering, governance, and machine learning. Past conference panels and training sessions are available on YouTube.

9. Big Data LDN (London)

• Date: September 24 - 25, 2025
• Location: Olympia, London, UK
• Cost: Free

The Big Data LDN is the UK’s leading free data, analytics, and AI event, featuring a two-day conference and exhibition. It offers insights from top data leaders and success stories from major brands, helping attendees discover new tools and techniques for data-driven business success. The event provides opportunities to connect with technology vendors, consultants, and expert speakers through a comprehensive conference program.

10. AWS re:Invent

• Date: December 1 - 5, 2025
• Location: Las Vegas, NV, USA
• Cost: Varies (Tickets open in 2025, summer)

AWS re:Invent is Amazon’s premier annual cloud computing event, featuring keynote announcements, technical sessions, hands-on training, and certification opportunities. With over 2,000 sessions, interactive workshops, and networking events, it offers insights into the latest AWS services, cloud data engineering, and business transformation through the cloud. Attendees can explore innovation talks, choose specialized learning tracks, and engage in community activities, making it a key event for cloud professionals looking to enhance their skills and stay ahead in the industry.

Summary

Here is a final table to keep you organized. Don't forget to mark your calendar!

Staying ahead in data engineering requires continuous learning and networking, and attending top conferences in 2025 is a great way to achieve that. If you are getting started in data engineering, I highly recommend our Understanding Data Engineering course to understand how the role of a data engineer differentiates from a data scientist and how they facilitate the flow of data through an organization. The Introduction to Data Engineering is also a good intermediate course to help you understand ETL processes through a case study. As data engineering evolves rapidly, investing in your skills and staying informed about emerging trends will keep you competitive in this ever-growing field.