Agile/Scrum

project management, software development, methodology
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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
Jobs (this month)

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Jobs in using Agile/Scrum for but please no

analytics engineer

Senior Manager - Analytics Engineering @ comparethemarket

GB | 2025-12-26
A senior managerial role focused on transforming analytics engineering by leading a multidisciplinary team and shifting from traditional BI to scalable, self-service data solutions. The... read more »
Analytics Engineering, AI/ML, BI, Data Engineering, Analytics, Data Modelling, Data Quality, dbt, SQL, Git, DataViz, Power BI, Looker, Tableau, Agile/Scrum
analytics engineer

Senior Data Management Professional - Data Quality - Equity Corporate Actions @ bloomberg

GB | 2025-12-25
This role involves managing data quality within Bloomberg’s Equity Corporate Actions team, emphasizing standards, validation, and client relationships. The differentiator is the focus on... read more »
Analytics, Data Quality, Data Management, ETL/ELT, Computer Science, Python, Agile/Scrum, Management, SQL, R
promoted

O'Reilly: Building AI Agents with Model Context Protocol (MCP)

Design and implement composable agent architectures using MCP. Understand the MCP architecture and how it enables AI applications to access external context. Build MCP servers that expose tools, resources, and prompts to LLMs.

Get Started
analytics engineer

Senior Analytics Engineer @ rockstar-games

GB | 2025-12-23
Rockstar Games is recruiting a Senior Analytics Engineer to design and operate the data plumbing that underpins its mega-franchised games from a London studio. The role blends software development... read more »
Analytics, Big Data, AI/ML, Data Engineering, Data Quality, Git, CI/CD, Terraform, GitHub, Analytics Engineering, Databricks, Azure, Cloud Computing, Airflow, Astronomer, Computer Science, Python, PySpark, SQL, Agile/Scrum, Management, Data Streaming