Avoid wrong and costly data mistakes (K11)

K11 made simple: Data Security, Ethics, Policies & Lineage (Hungry Now Case Study)

What happens if your food delivery app suffers a massive data breach? In this video, we explore K11 from the Level 5 Data Engineering apprenticeship standard — the framework that helps you prevent disasters, protect customer trust, and keep your data ecosystem secure by design. 🍔📦

In this video you’ll learn:
• The 4 pillars of K11: security, ethics, policies, and data lineage
• How breaches can wreck trust and trigger GDPR fines — and how to prevent them
• The toolkit: role-based access control, encryption, secrets management, data catalogues, lineage tools
• Real “Hungry Now” examples — from hashing user IDs to preventing models inferring religion from food orders
• How to write strong EPA-ready portfolio statements that prove your governance skills

Who is this for?
L4–L5 data apprentices, junior data engineers, and anyone preparing for their End Point Assessment (EPA) or working with sensitive customer data in real-world pipelines.

📌 Disclaimer: Educational content only — always follow your organisation’s policies, your DPO’s guidance, and relevant data protection laws.


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