Data Science & Analytics
Camunda
Camunda, the process orchestration company, is hiring a Senior Data Engineer to build its AI-native data platform. The posting is primary-located in the United Kingdom with the United States as a secondary location, and Camunda describes itself as fully remote and global, with the line "Work from anywhere with the setup that suits you." Salary bands are published for the United States ($143,800 to $231,900), the United Kingdom (£90,300 to £148,500) and Singapore (S$178,600 to S$267,900), with equity through a Virtual Stock Option Plan where applicable. You will lead improvements to Camunda's data infrastructure and architecture, optimize query design and performance, build monitoring for data pipelines and champion good data acquisition, storage and stewardship practices across the company. This is a small-team role that rewards an ownership mindset. Freshness evidence: Ashby posting API publishedAt 2026-09-21.
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Lead improvements to Camunda's data infrastructure and architecture. Optimize query design and performance across the data platform. Build monitoring for data pipelines and implement DataOps best practices. Partner with teams across Camunda to champion good data acquisition, storage and stewardship practices. Deploy and operate cloud-based batch and streaming data pipelines using Infrastructure as Code.
Five or more years of experience in data engineering or machine learning roles, ideally including work in AI-native environments. Strong data modeling skills and several years of dbt experience. Experience deploying and operating cloud data pipelines (batch and streaming) and using Infrastructure as Code tools such as Terraform. Ownership mindset suited to a small team, willingness to use Camunda's own product, strong communication and collaboration skills, and a passion for clean code and automated tests. Must be based in the United Kingdom or United States (the posting's listed locations).
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