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Agile/Scrum: the tech world’s favorite buzzword cocktail. Born out of the Agile Manifesto in 2001, Scrum became the go-to framework for teams tired of bloated waterfall
methods. In theory, it's all about adaptability, collaboration, and delivering incremental value. In reality? Mostly just stand-up meetings that no one really stands for
anymore. Competing with Kanban and other agile frameworks, Scrum’s claim to fame is its structured approach: sprints, backlogs, and the coveted daily scrum. Great for keeping
teams "aligned," or at least pretending to be. But let’s face it—Scrum can turn into a bureaucratic mess if not done right (looking at you, cargo cult Scrum Masters).

Still, in its current state, it’s used everywhere from startups to massive enterprises trying to be 'nimble'—despite drowning in Jira tickets. Key differentiator? Scrum loves
process, but not too much process. Just enough to keep you sprinting in circles.

Used together with Agile/Scrum

Additional Resources

Agile Manifesto Agile Data Modelling Agile Data Warehouse Design Scrum: An Honest Ad
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Jobs in using Agile/Scrum for but please no

data scientist

Prototyping Engineer, APJ Prototyping and Cloud Engineering (PACE) @ amazon-web-services

AU | 2025-12-26
Amazon seeks a Software Development Engineer to support AWS prototyping projects across APJ, emphasizing distributed systems, automation, and security. The role's defining trait is its focus on... read more »
AI/ML, AWS, Cloud Computing, Agile/Scrum, DevOps, Management, API, AWS Lambda, Amazon RDS, Amazon EC2, S3, CloudWatch, C#/.NET, Java, JavaScript, TypeScript, Computer Science, Analytics
data scientist

Insight & Data Delivery Lead @ capgemini

AU | 2025-12-26
The Delivery Executive leads data and AI program implementation at Capgemini, acting as a nexus between business needs and technological solutions. With a focus on project outcomes and client... read more »
AI/ML, Management, Analytics, Data Quality, CDP, Master Data Management, Azure, AWS, GCP, Agile/Scrum
promoted

O'Reilly Power BI Learning

Master Power BI fast: build basic-to-advanced visuals, apply smart design, use dynamic slicers/filters & new cards, choose the right chart, spotlight key insights, brand and theme reports, and seamlessly publish/share in the Service.

data scientist

Product Manager (Discovery) @ the-iconic

AU | 2025-12-25
The role involves managing discovery product initiatives to enhance search relevance, leverage NLP and AI/ML models, and collaborate with cross-functional teams within a high-traffic e-commerce... read more »
Data Science, Marketing, NLP, Management, AI/ML, Agile/Scrum, Go, ELK, Vector DB