Teams at Dreamdata

Own Dreamdata’s warehouse models, pipelines, tests, self-service analytics layer, aggregation, anonymization, and statistical methodology for public B2B marketing benchmarks. Develop defensible datasets and metrics using SQL, data transformation frameworks, and statistical analysis. Partner with marketing to answer questions quickly, review published claims, ensure analytical correctness, and establish reliable documentation, CI, and semantic models.

Owns the design, development, operation, and improvement of backend integrations and data pipelines connecting third-party advertising, CRM, and marketing platforms. The role requires independent architectural decision-making, customer engagement, reliable data delivery, and development of agentic tooling for monitoring and troubleshooting integrations. Engineers work across Go, SQL, Google Cloud Platform, Apache Beam, Cloud Run, Kubernetes, Temporal, Pub/Sub, and BigQuery in a hybrid Copenhagen office.

The Technical Customer Success Manager at Dreamdata will enhance customer success journeys, focusing on product adoption and providing strategic advice while leveraging technical skills and MarTech expertise.