May 26, 5:00 – 7:30 PM (UTC)
The London Snowflake User Group is back, and this time we're joining forces with Data Engineers London for an evening of talks, ideas, and great conversation.
Hosted by Kubrick at their offices on Queen Victoria Street, this is your chance to connect with fellow data professionals, hear from speakers who are building real things with data every day, and be part of a growing community that spans engineering, analytics, and ML.
Lucie graduated from Lancaster University with a degree in Computer Science in 2023 and joined the Sigma Labs graduate scheme in January 2024. After a 15-week coding fundamentals course, she specialised in Data Engineering, and then placed at Entain in June 2024. Having been exposed to a wide range of tools and platforms since, Lucie has since been tasked with leading the charge for her team to adopt Snowflake Openflow into the tech stack.
Utilising Snowflake Openflow for Regulatory Reporting. Regulatory reporting often comes with a large list of requirements (in our case, an 80-page document full of them) alongside specific and complex business logic as a given. With a large volume of sensitive data to handle, we wanted a solution that would help keep our data within the same environment - hence the choice to explore Openflow as an option to facilitate our delivery to regulators. This session will cover what it took for our team to go from no prior knowledge or experience of Openflow to deploying a production-ready system with it. Demonstrations, What Went Wells, Pitfalls, and what we’d do differently next time!
Yomi is a Data professional with many years of experience in data and analytics engineering. In recent years he has focussed on helping organisations build self-service data platforms, create data products and design and implement a data culture. He has worked within multiple sectors including online banking, e-commerce and supply chain, using multiple tech stacks, including: AWS, Snowflake, GCP, Azure, Databricks.
Data Engineering: People, Patterns, Platforms. What should your data platform do? What should it _not_ do? How should it harness AI? Stories and examples from building and scaling data platforms across multiple industry sectors and organisations.
Whether you're deep in pipelines or closer to the insight layer, there's something here for you.
📅 Tuesday 26th May 🕕 6pm - 8:30pm📍 Kubrick, 85 Queen Victoria St, EC4V 4AB
Free to attend. Come hungry to learn.
Tuesday, May 26, 2026
5:00 PM – 7:30 PM (UTC)
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