Data Engineer Things: London Meetup (May)

Join us in Holborn at MMC HQ for an evening of networking, drinks, food and talks from some brilliant speakers from the Data Engineer community, including:

• Anna Aleshko (Data Engineer and Founder of Data Engineers London)- How we power insights using Snowflake for a £7bn business: Data Architecture and Data Products at Waitrose
• [SURPRISE] - The ultimate combination: how to run dbt-Core on Snowflake Container Services
• Alex Spanos (Head of Data @Tarabut) - Automating Data Workflows for ML in Middle East Open Banking

Event Schedule
6:30 - 7:00 : food, drinks, networking

7:00 - 7:20: Anna Aleshko, Data Engineer - How we power insights for a £7bn business: Data Architecture and Data Products at Waitrose

7:20 - 7:40: [SURPRISE] - The ultimate combination: how to run dbt-Core on Snowflake Container Services + Q&A

7:40 - 8:00 : Alex Spanos (Head of Data @Tarabut) - Automating Data Workflows for ML in Middle East Open Banking

8:00-8:30: Q&A

8:30 onwards: drinks and pub

Join the guestlist 👉to secure your spot as spaces are limited.

This gathering of London’s Data Engineer Things community is organised by Hugo Lu (Orchestra) and sponsored by Snowflake and MMC Ventures

About us:
Data Engineer Things (DET), founded by Xinran Waibel, is an online community and publication dedicated to curating learning resources for data engineers. The London chapter is focused on bringing together like-minded data engineers and practitioners to share experiences, and speak about high-quality real-world data engineer projects, and of course, socialise.

Talk submission:

If you'd like to submit a talk (or help us organise!) please reach out to Hugo or Tim Webster on Linkedin. Similar to the Data Engineer Things Medium blog, we recommend submitting talks on some of the topics below, which are educational and beneficial to the wider community!

Speaking about relevant professional experiences is also recommended:
Project ideas: Interesting data engineering projects you've done (ideally in a professional capacity)
---> Tech stacks: Building a batch/streaming pipeline on AWS, for example
---> Engineering process: Integrating CICD into data engineering dev cycle
---> Overlooked topics: e.g. how to design systems for high data quality
Which could be interspersed with stories about:
---> Career switching: Transitioning into DE from another field
---> Interviews: Preparing for data engineering interviews

Resources:
Slack: http://join.det.life
Medium: https://blog.det.life
Youtube Channel: https://www.youtube.com/@data-engineer-things/streams
Website: https://www.dataengineerthings.org/aboutus/