TBD 2021

Talks That Keep You Awake!

Our talks are backed by our 100% No Bullshit Guarantee* and delivered by leading data scientists and engineers from top organizations like Google, Uber, Datadog, Intermix, LINE, Eurecat, Schibsted, & many more.

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Multiple Unique Tracks

We offer several tracks to extend our offerings to even more data geeks, and let attendees pick and choose. All included in the same ticket! Stay tuned for more details on this event's tracks.

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Max - 500

Tired of mega-conferences where it's hard to interact with people? We are too, so we aim to limit attendees to 500 for each of our events. Our attendees are also highly-skilled data scientists, engineers, analysts & engineering managers.

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Born to Be Open Source

We believe in Open Source; code, content and mentality. We feature top open source contributors and tools at our talks. Afterwards, we publish all content for the community, for free. Take that, mega-conferences!

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We are a diverse group of geeks, coders, scientists, analysts. We are part of the international data community but care deeply about local data communities as well. No big € sponsors here, just data nerds, like you & I.

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Networking That Works

Experience our popular "Speakers Office Hours" format plus our favored Data Community Party. Through our intentional matching opportunities you'll meet data influencers who will positively impact your career.

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Track Hosts

Jordi Vitria

Full Professor

University of Barcelona

Santi Seguí

Associate Professor

University of Barcelona

Paula M. Petrone

Senior Consultant, Life Sciences Europe

Health Catalyst

Previous Barcelona Speakers

Wouter de Bie

Director of Engineering


Ramon Gras Alomà

Urban Innovation Researcher at Harvard University and Co-Founder at Aretian

Aretian & Harvard University

Yizhar Toren

Data Science Lead


Xaquín G.V.

Independent Consultant

Markus Ludwig

Senior Data Scientist


Xavier Gumara Rigol

Data Engineering Manager


Arnau Tibau Puig

Head of Data Science


Nikolas Goebel

Partner & Co-Founder


Malte Sandstede

Partner & Co-Founder


Ananth Packkildurai

Senior Software Engineer


Alexander Kudryashov

Senior Software Engineer

New Relic

Petia Radeva

Full Professor, University of Barcelona & Senior Researcher & Project Manager, Computer Vision Center

University of Barcelona

Carmen Herrero

Data Scientist Lead


Steve Coppin-Smith

Head of Engineering

Snowplow Analytics

Agata Lapedriza

Tenured Professor, UOC / Visiting Researcher, MIT Media Lab

UOC / MIT Media Lab

Miguel Alvarez

Data Scientist


Aureli Soria-Frisch

Director of Neuroscience

Starlab Consulting Division

Maria Crosas Batista

IS/IT Project Manager


Jackson Argo

Software Engineer


Karina Gibert

Full Professor


Gerard Maas

Principal Engineer


Vicente Valls Rios

Engineering Manager

Delivery Hero

Tiago Henriques

Technical Specialist - Artificial Intelligence and Machine Learning


Tamás Németh

Tech Lead of Data Platform Team


Andrea Spina

Head of R&D


Albert Franzi Cros

Data Engineer

Alpha Health

Timo Walther

Principal Software Engineer @ Confluent, PMC @ Apache Flink


Gergely Krasznai

Senior Data Analyst


Lewis Hemens

Co-Founder & CTO


Joerg Schad

Head of Engineering and Machine Learning


Alessandro Pregnolato

Head of Data


Fernando Cucchietti

Head of Data Analytics and Visualization

Barcelona Supercomputing Center

Pau Garcia


Domestic Streamers

Joan Albert d’Escofet

Senior Project Manager & Health Information & Data Scientist Technology Expert


Committee Chair

Pete Soderling

Pete Soderling

Pete Soderling is currently the founder & CEO of Data Council. As a former software engineer, serial founder and investor in data-backed startups, his passion is in building valuable resources and community for data scientists, engineers, analysts and product managers. Previously Pete founded Hakka Labs (a social network for software engineers), Stratus Security (an early cloud-based enterprise API platform) and mechanikal (a software development consultancy in NYC). A graduate of New York University, Pete has served as a mentor for 500 Startups, has been a TEDx, O’Reilly Strata and QCon speaker and has worked with technical founders across the globe.

Previous Committee Co-Chairs

Alberto Betella

Alberto Betella

For the past two decades Alberto has been working in and speaking about tech, innovation and science. He has an extensive technical and scientific background, which he leverages to solve real-world business problems. He is the Chief Technology Officer at Alpha Health, a moonshot backed by Telefonica with the goal of improving life for billions of people. Alpha was created to address some of the biggest problems in society by delivering radical solutions and breakthrough technology. Prior to that, he worked as CTO at Badi, a startup where he crafted the tech and the team that built it from the ground up. During his time at Badi, he scaled up from 0 to 1+ million users and he directly contributed to secure $45M VC funding in Europe and US. Alberto holds a PhD in Information and Communication Technologies with a specialization in Affective Computing and Empathic Systems.

Robert Winslow

Robert Winslow

Robert is a seasoned software consultant with a decade of experience shipping great products. He thrives in early-stage startup environments, and works primarily in Go, Python, and Rust. He has led back-end development at companies like RankScience and Spot.com; created a rigorous, open-source time-series benchmarking suite for InfluxData; and rapidly prototyped software in a skunkworks-type product lab. He’s taught graduate statistics at GalvanizeU and mentored at the Stanford d.school. He helps maintain Google’s FlatBuffers project, one of the world’s fastest serialization libraries. A colleague once described him as “the developer equivalent of ‘The Wolf’ from Pulp Fiction."

Previous Conference Tracks

Core Data Engineering

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Our Core Data Engineering track gives practical examples of full-stack data architectures, data pipelines and plumbing systems, and reference examples of ETL functions & workflow schedulers. The track explores the stories behind the challenges faced by experienced engineers when building modern data infrastructures and features key open sources projects our speakers are keen to share with the community.

Data Science & AI Impact on Life

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This track focuses on the impact of data science on human beings and our environment. We look for applied science that will augment our interactions in the world and help us make informed decisions on issues that are relevant or urgent in order to make measurable improvements in our quality of life. The speakers in this track are selected for their abilities to address a relevant unmet need, and to provide an in-depth technical explanation of a novel data-driven solution in the areas of health & wellness, social interactions, learning, and economics.

Streaming Systems

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This track looks at various tooling used to build real-time applications and the underlying data infrastructure that supports the movement of data to computation. Examples of talks include case studies on how applications use messaging systems, how applications maintain consistency and correctness while ingesting large amounts of data, and computational frameworks for processing data with low latency. This is a practical track for engineers looking to design the backbone of a data intensive application architecture.

Data Science & AI Impact on Business

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This track addresses the major challenges faced when applying DS/ML/AI to corporate data with an emphasis on the common aspects data teams face: identifying the data you have, deciding how to organize and clean it, building the actual algorithmic models themselves, and ultimately, integrating the models into an application and scaling it into the organization’s IT systems.

Max 500: We are not a “mega-conference”

We aim to keep attendees lower than 500 attendees for any Data Council event or conference. We've been there too, and we know the reason you attend conferences is not to be sold to or lose yourself in a massive sea of attendees.

Aiming for less than 500 attendees ensures that you have a fair chance to engage with speakers 1:1 on your favorite track during Speaker Office Hours. It's worth noting that this is not a watered-down "mega-conference," but an intentional community-powered conference for engineers & scientists, by engineers & scientists, like yourself!

Generally, our conferences attract between 300-500 people depending on the season, location, and speakers.

Speaker Office Hours: Meet your crowd

Most speakers hold "office hours" after their talk, which are a great opportunity to take the discussion further in a smaller setting. 

Unlike Q&A where you are usually limited to asking one question, you will be able to have an in-depth back-and-forth discussion with the speaker and like-minded attendees - a great way to learn more and build long-term relationships.

Attendees often mention Speaker Office Hours as one of their favorite perks of attending our events.

Featured Barcelona Talks



Apr 17, 2019 1548320400000

Welcome, announcements & track host intros (Pete Soderling)

Apr 17, 2019 1548321300000

Keynote 1

Apr 17, 2019 1548324000000

Talk 1

View Venue Location


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What Previous Attendees Said

Data Council was really great. The vibe and culture were exactly what I felt from following the RSS feeds, Twitter, watching YouTube, etc. for the last couple of years, and what attracted me to want to come to the event. I will be recommending it to friends! It was a real pleasure speaking.

Baron Schwartz

CTO & Founder

Baron Schwartz - CTO & Founder
Just wanted to reach out to thank you for the opportunity to speak at the conference. As a conference it was very informative and the talks inspired some of my software design approaches. I'm sharing my experiences with my team to help spread the knowledge.

Neelesh Salian

Senior Software Engineer
Stitch Fix

Neelesh Salian
Data Council is a really a great conference for technical talks with real insights to data engineering challenges and solutions. As an engineer who works on open-source software I found it helpful to hear first hand from users that are working on real world challenges.

Maximilian Michels

PMC Member Apache Flink & Apache Beam
Independent Contractor @ Google

Maximilian Michels

Pre-Register For Our Next Event

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Previous Partners Include:

New Relic
Sponsor 2024

Barcelona Highlights 2019

  • 2 days & 40+ insightful talks by leading data scientists, engineers and machine intelligence researchers from top organizations like Facebook, Criteo, Yara, Spotify, Google, WeWork, Uber, Stitch Fix, Datadog, Segment and many more.

  • Multiple unique tracks to be announce later.

  • All-new content including our brand new Founders Panel of top startup founders in the AI space.

  • Max 500 attendees, the best attendee:speaker ratio in the business.


  • Extensive networking opportunities at the event, or connect with speakers & attendees at our after-party between event days.

  • Small group Speaker Office Hours following each talk with an opportunity to dive deeper into the subject matter 1:1 with the speaker.

  • Enjoy meeting attendees that are highly-technical data scientists, engineers, analysts & technical startup founders from top tech, media, and banking companies around Barcelona & Europe.

  • Connect with our great partner companies at Sponsor Spotlight to discover their available data jobs, open-source projects and latest product developments.

  • Inspiring keynotes and practical, information-rich sessions, tutorials, and speakers office hours exploring the latest advances, case studies, and best practices.

  • Fun evening event and more, giving you more face time with attendees and speakers.

Topics Covered at Data Council