Data Engineering involves creating the infrastructure for managing data flows in applications. Whether it's designing production-grade systems with Python, working with platforms like Snowflake, or building data pipelines using Databricks and Spark, these skills are crucial for data-driven roles. This knowledge helps those looking to automate workflows, generate insights from vast datasets, or move machine learning projects into production.
23:39
31:16
39:18
14:52
44:47
1:07:31
![Automating Data Pipelines with Python & GitHub Actions [Code Walkthrough]](https://img.youtube.com/vi/wJ794jLP2Tw/mqdefault.jpg)
31:03
08:12
19:54
Your idea can be anything. At our last workshops, people built plant-based nutrition businesses, a way to measure planetary resilience, crochet headwear and a way to connect lonely people living in the same building. An asset manager went on to raise an additional £25M on their fund within nine months. The fourth workshop is a full day at KOKO with Nick Sarafa, learning to build with Claude Code. Bring the thing you keep meaning to start. We’ll bring the pizza.
Apply once › get screened › meet the company
28:48
1:35:02
22:36
2:56:49
19:58
3:35:31
23:55
Let us build it for you. Design and engineering from the people who shipped platforms to billions of users. AI-native, live in weeks, and yours outright at the end.
One a week, never sold on, and one click to stop.
We use a few cookies to keep the site running. Necessary ones are always on. Analytics + marketing are off until you say otherwise.
Read our cookie policy · privacy.