About the role
Camunda is hiring a Senior Data Engineer to help build and scale an AI-native data platform. The role sits at the centre of the company's data infrastructure, with responsibility for leading architecture improvements, optimising query design and performance, and building monitoring for data pipelines while applying DataOps best practices. You will also partner with teams across the business to champion strong data acquisition, storage, and stewardship habits.
The team is small and values ownership, so this suits an experienced data engineer who is comfortable in an AI-native environment and wants visible impact. Camunda describes the position as fully remote and global, with location-based compensation and hiring through its global employer partner for candidates outside the listed markets.
Highlights
- Lead data infrastructure and architecture improvements on an AI-native platform
- Build pipeline monitoring and embed DataOps best practices
- Requires 5+ years in data engineering or ML, strong data modeling, and several years with dbt
- Cloud pipeline experience across batching and streaming, plus Terraform knowledge
This recap is dataskew's editorial summary, not the company's copy.