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Data & Analytics Events in London

The modern data stack has a vocal European community. This page collects events for the engineers, analysts, and analytics engineers doing the work: Databricks and Snowflake user groups, Microsoft Fabric and Power BI community meetups (a particularly active series across the continent), dbt meetups, Airflow and dagster practitioner events, PyData conferences, data-engineering guild nights, PostgreSQL and PGConf events, and the growing list of "we ship a data product" meetups at scaleups across the continent.

This page narrows the London calendar to Data & Analytics events. It's a subset of United Kingdom's wider tech-event schedule, useful when you want something specific to go to in the city this month.

London has one of the largest single-city tech-event calendars in the world. Every major engineering discipline sustains multiple monthly meetups here (AI-applied, ML research, backend, frontend, cloud, DevOps, security, data), and every major international conference has a London edition or satellite. Engineering leadership is unusually strong: LeadDev London is effectively a pilgrimage event, and CTO Craft, staff-engineer communities, and product-management meetups (Mind The Product) run year-round.

Upcoming Data & Analytics events in London

Data & AnalyticsMeetupFree

PyData London - 108th Meetup

London, πŸ‡¬πŸ‡§ United Kingdom

Venue: Riverbank House, 2 Swan Ln, London EC4R 3AD
Please note:
1. 🚨🚨🚨 A valid photo ID is required by building security. 🚨🚨🚨
2. This event follows the NumFOCUS Code of Conduct. Please familiarise yourself with it before attending.

If your RSVP status says "You're going" you will be able to get in. No need to show your RSVP confirmation when signing in.
If you can no longer make it, please unRSVP as soon as possible.

Code of Conduct:
This event follows the NumFOCUS Code of Conduct. Please get in touch with the organisers with any questions or concerns.

As always, there will be free food and drinks, generously provided by our host, Man Group.

Main Talks

  1. Astha Gupta - Beyond the Demo: What Nobody Tells You About Shipping AI at Scale
    Everyone wants to talk about the model. In enterprise AI delivery, the model is rarely the hard part.
    Over the last few years I have led the delivery of AI platforms for Fortune 500 clients across energy, agriculture, and chemicals. The hardest problems were never algorithmic. They were getting the data in the first place, making sense of it, showing progress before anyone loses faith, and balancing the pressure to move fast with the need to build something that actually scales.
    This talk covers the full arc of what enterprise AI delivery actually looks like in practice. Getting data from large organisations is often the longest part of the entire project, and the EDA that follows surfaces assumptions that break everything you planned. Showing features early, before the formal UAT four months later, is what keeps projects alive. And the pressure to deliver fast in sprints that have no room for a month long feature is where most technical debt quietly accumulates.
    The latest chapter of this story is coding agents. They make you faster than ever. But in enterprise codebases where scalability is not optional and understanding what you built is not a luxury, speed without comprehension compounds into something much harder to fix.
    This is not generic software engineering. The constraints are different, the stakes are higher, and the lessons are hard won.

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Logistics

  • Doors open at 6.30 pm (get there early as you'll need to sign in with building security).
  • Talks start at 7:00 pm, with drinks afterwards from 9:00 pm at The Banker (EC4).

We have reduced capacity for this event, but there will be plenty of people to discuss data science questions with.
Please unRSVP in good time if you realise you can't make it. We're limited by building security on the number of attendees, so please free up your place for your fellow community members.

Tue 7 Jul Β· 17:3050–200
Data & AnalyticsMeetupFree

London Analytics Engineering Meetup #25

London, πŸ‡¬πŸ‡§ United Kingdom

πŸŽ‰ Event #25 – The Analytics Engineering Meet-up πŸŽ‰

The London Analytics Engineering Meet-up - Hosted by Wise!

Speakers:
Emanuela Ciotti - Head of Enterprise @ Compare the Market

2nd speaker TBC

πŸ“… RSVP opens 15th June (3.5 weeks before the event). This event will be over-subscribed, so set a reminder β€” you won’t want to miss it!

πŸ“ Agenda
6pm – Doors open, networking, food & drinks
7pm – Talks kick off
8:30pm – More drinks & networking @ local pub

This is a fantastic opportunity to connect with some of the UK’s top data professionals, share challenges, and exchange learnings.
We are always looking to improve the event and get new ideas for talks, if you could please fill out a feedback form, this will help us continue to improve!

The Analytics Engineering Meet-up is a community for data professionals working with the modern data stack, machine learning or AI.
We host regular meet-ups featuring talks from data leaders building and scaling analytics, data platforms, and AI in forward-thinking teams.
The community is ideal for Data Engineers, Analytics Engineers, Analysts, and those working in Data Science, Machine Learning, or AI.

The Analytics Engineering Meet-up is organised by Cognify β€” a specialist recruitment partner for teams working across the modern data stack, machine learning & AI.
If you’re looking to hire top data talent or exploring your next move in data, feel free to reach out to the Cognify team β€” we’re always happy to help and chat through the market.

Our sponsor is Omni, an AI-powered BI platform that helps people use data to do their best work. Whether users prefer AI, Excel, point-and-click exploration, or SQL, Omni enables fast, trusted answers from a governed semantic model.

If you’re eager to dive deeper into industry insights, check out The Stacked Data Podcast for conversations with industry leaders:
Listen on: Spotify Youtube or Apple Podcast

Your feedback is so valuable to us, we'd love to hear from you to help us continue to improve, Feedback Form here

No-Show Policy:

  • If you miss 2 consecutive events or 2 out of 3 events, you wont be able to attend the next event. We hope you understand this is to keep things fair for venues and other attendees.
Thu 9 Jul Β· 17:0050–200