Скачать или смотреть AI-Driven Data Engineering w/ Christopher Simusokwe (S1-E10)

In this season finale, we sat down with *Christopher Simusokwe*, a seasoned data leader with over two decades of experience building and leading data engineering teams across finance, telco, and mining.

Together, we explore how AI is reshaping the world of data engineering — from evolving roles and real-time architectures to what it really takes to future-proof your career as automation and AI become deeply embedded in data systems.

Christopher shares practical insights from the trenches: how to balance depth vs breadth in your technical growth, build pipelines that serve both humans and machines, and transition from reactive “data janitors” to proactive data product owners.

Whether you’re a data engineer, AI professional, or simply curious about the future of modern data systems, this episode breaks down how automation, orchestration, and reasoning are redefining what it means to work with data.

💡 What You'll Learn

👉🏽 The Evolution of Data Engineering — From reactive “data janitors” to proactive product owners.
👉🏽 T-Shaped Skills — How to balance depth, breadth, and technical mastery in your career.
👉🏽 Real-Time Data Shift — How streaming and ELT architectures changed everything.
👉🏽 Data Quality & Governance — Why “garbage in, garbage out” matters more in the AI era.
👉🏽 Good vs Great Engineers — Building self-service and abstraction for scale.
👉🏽 Mentorship & Leadership — How to coach teams through complexity and failure safely.
👉🏽 Future-Proofing with AI — How data engineers can evolve with automation and agentic systems.
👉🏽 The End of Data Migration? — Why context engineering might replace traditional movement.

⏰ Timestamps

00:00 Trailer & Episode Intro
01:20 How data engineering evolved from janitorial to product-oriented roles
04:30 Structured vs unstructured data – what’s really changed
08:59 Building T-shaped teams and mastering fundamentals
13:28 Specialisation vs generalisation in modern data teams
15:58 From batch to real-time – the streaming revolution
18:58 Aligning data architecture with business needs
24:27 Feeding AI models – from analytics-ready to model-ready pipelines
27:56 Governance, lineage, and building data trust
30:26 Good vs Great Engineers – self-service, abstraction, and ROI
38:25 Managing expectations and under-promising strategically
41:54 Automation, AI, and the next evolution of data engineering
47:23 The rise of context engineering and agent orchestration
49:23 The future – AI-powered data systems and disappearing data migrations
51:52 Final thoughts and advice for future data engineers

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👋 About Us
What The Tech Podcast (AU) is your go-to podcast for simplifying complex tech topics and exploring the impact of AI on business, society, and everyday life. Hosted by Rene and Vivienne, we break down the trends and tools shaping the future of technology in a fun, conversational way.

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