About Camunda
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.
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.
Responsibilities
- 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.”
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) spans from the minimum in a Standard market to the maximum in a Major market. Final offers depend on skills, experience, and location. * 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
Equity
We also offer equity (where applicable) through our Virtual Stock Option Plan (VSOP).
Benefits & Perks
- Remote & Flexible: Work from anywhere with the setup that suits you, home office budget, co-working space support, and flexible time off to recharge when you need it.
- In Person Connection: We invest in meaningful face time through our Annual Kickoff, team offsites, and Camundi Connection Budgets, including contributing to meetups while travelling, and local gatherings with fellow Camundi.
- Health & Wellbeing: Access locally tailored healthcare, Modern Health for global mental wellbeing, and our Live Well Lifestyle Spending Account (LSA), a flexible, global benefit that puts you in control of your whole life, not just work. The Live Well program launches in 2026 and scales to €1,000 annually from 2027.
- Financial Security: Retirement and pension plans (often with company contributions), plus life and disability insurance where relevant.
- Professional Growth: Up to $/€/£1,000 per year for self-driven learning: courses, certifications, books, you decide!
- 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
