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Data Engineer Career in 2026: Roles, Specializations, and What Companies Look for
Open original DataTalks.Club episode
Data Engineer Career in 2026: Roles, Specializations, and What Companies Look for
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Chapter Summary
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- 0:00 - From Measuring Glaciers to London’s Tech Scene
- 6:47 - Hadoop vs. AI: Lessons from the Original Big Data Hype
- 11:54 - The Data Identity Crisis: Platform vs. Product Engineering
- 17:29 - Tech-Native vs. Tech-by-Necessity Company Cultures
- 25:33 - The Competitive Advantage of Cost-Aware Engineering
- 30:56 - Avoiding Over-Engineered Platforms and Modern Data Stacks
- 38:01 - The Real-Time Myth: When to Use Kafka and Spark
- 42:08 - Breaking into Data Engineering: 2026 Market Reality.
- 51:04 - AI Automation: Why Strategic Builders Outlast “DBT Monkeys
- 57:35 - Portfolio Strategy: Framing Side Projects for Maximum Impact.
- 1:04:42 - The Ultimate Portfolio Project: Building End-to-End Platforms
- 1:07:49 - Networking Advice and Local Gdansk Culture