How a global investment firm reduced runtimes by 30–40% with the dbt engine

Norges Bank Investment Management, which manages Norway’s sovereign wealth fund, adopted the dbt v2 engine and dbt State to improve developer experience and performance across a data platform used by more than 150 developers and 30 decentralized projects. Rather than migrating complex legacy workloads immediately, the firm began with smaller, well-structured projects involving platform metadata, communications data, and investment data, placing five projects into production within three months. The rollout improved parsing, linting, feedback loops, and code quality for less technical users, while end-to-end runtime for migrated projects fell by 30–40% without dedicated optimization. NBIM expects the tools to reduce orchestration overhead, lower future costs, mitigate tight SLA risks for global investment teams, and support a shift from batch-oriented pipelines toward more continuous data delivery.

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