Camunda is the enterprise platform for agentic orchestration, enabling organizations to coordinate AI agents, people, and systems across complex, end-to-end business processes. With built-in governance, auditability, and human oversight, Camunda gives enterprises the control they need to move AI from pilots to production — safely and at scale. Trusted by over 700 organizations worldwide, including 9 of top 10 US banks, Camunda helps enterprises boost operational efficiency, accelerate time-to-value, and deliver better customer experiences.

Fully remote and global, we are in the middle of something bigger: transforming into an AI-first organisation, built on our own platform. We use Agentic AI to automate, orchestrate intelligent processes, and elevate human contribution across every team.

Named GP Bullhound’s Top 100 Next Unicorn list, 2025 Great Place to Work certified. Visionary in 2025 Gartner® Magic Quadrant™ for Business Orchestration and Automation Technologies. ranked 3rd in Flexa's 2026 Most Flexible Companies, We’re growing fast and looking for top talent to join our team. If you want meaningful work, visible impact and put something genuinely rare on your CV, keep reading.

About the Role

Camunda runs on trusted data for people and agents. The Holistic Data Platform (HDP) is how we get there: a data warehouse, consumption layer, and a context layer that agents use to answer questions about pipeline, bookings, ARR and product usage. We are hiring a Data Engineer who builds that platform and also cares whether the numbers are right, whether the business uses them, and whether an agent gives a correct answer on top of them. You will work directly with Corporate Strategy, Finance, Sales, Product, and Marketing leaders.

What you'll be doing

The consumption and context layers. Design models, metric definitions, and documentation that make HDP legible to both people and agents. A metric that two teams read differently is a bug you own.

Data quality as a product. Define what “correct” means for each important metric, test for it, monitor it, and tell us fast when it breaks. Reconcile HDP against data sources.

Agent reliability. Build evals for the agents that sit on HDP. Review their answers, find the wrong ones, and fix the cause in the data, the docs, or the prompt context.

Pipelines and platform. Ingestion, orchestration, dbt, CI/CD, and cost control.

Enablement. Make it easy for analysts and business owners to get answers without you.

Judgment calls. Decide which requests deserve a model, which deserve a one-off query, and which deserve a “no, and here is why.”

What you bring

We’re looking for an experienced data engineer with ML/AI experience who’s comfortable working in an AI-native environment

Ability and/or willingness to use Camunda’s product

5+ years of Data Engineering or ML experience

Strong data modeling skills and several years of experience with dbt.

Ownership mindset: we’re a small team and proud of our accomplishments

Experience in deploying, operating, and evolving data pipelines in the cloud (batching and streaming)

Knowledge of Infrastructure as code tools such as Terraform

Strong communication skills, enjoys sharing knowledge and learning collaboratively

Passion for clean code, adept at writing automated tests to maintain codebase quality and product excellence

This role is an existing vacancy

#LI-JS1 #LI-DNI

What We Have to Offer

Compensation

We offer competitive, fair, and transparent compensation. Salary ranges are location-based, with Standard and Major markets (global tech hubs) reflecting local competition.

The Annual Total Target Cash (base salary + 100% variable target, where applicable) shown below spans from the minimum in a Standard market to the maximum in a Major market. Final offers depend on skills, experience, and location, and we typically hire in the first half of the range to allow room for growth:

United States: $143,800.00 to $231,900.00

United Kingdom: £90,300.00 to £148,500.00

Singapore: S$178,600.00 to S$267,900.00