Job description

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, gpbullhound.com 2025 Great Place to Work certified. Visionary in 2025 Gartner® Magic Quadrant™ page.camunda.com for Business Orchestration and Automation Technologies. ranked 3rd in Flexa's 2026 Most Flexible Companies flexa.careers, 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 If you’re based elsewhere, you’ll be hired via Remote.com remote.com (our global employer partner), and your Talent Acquisition Partner will provide a personalized Total Rewards Calculator after your first interview. Equity: We also offer equity (where applicable) through our Virtual Stock Option Plan (VSOP) docs.google.com. Benefits & Perks We invest in your wellbeing, growth, and ability to connect, along with perks that support you no matter where you’re based. Our benefits are globally designed and locally delivered where applicable. - 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 (Vienna in 2025, Madrid in 2026!), 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, from: staying active, to caring for family, exploring personal passions, meaningful experiences, and investing in your financial wellbeing. 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! AI in our hiring process: Camunda may use AI tools to aid the screening of applications and during the interview process. You can learn more here camunda.com ”Everyone is welcome at Camunda” — it’s a celebrated component of our culture. We strive to create an inclusive environment that empowers our people. At Camunda, we honour diverse cultures and backgrounds and are proud to be an equal opportunity employer. All qualified applicants will receive consideration without regard to gender, race, ethnicity, religion, belief, sexual orientation, age, disability or any other protected characteristics under applicable law. We are looking forward to your application! Come join us and be part of Camunda’s incredible journey: Make an impact at a pivotal moment in our story! Please be aware that scammers may impersonate Camunda by reaching out about job opportunities. Camunda will only contact candidates from an email address ending in @camunda.com camunda.com or @talent.camunda.com camunda.com. We will never ask candidates for bank account details, checks, payment, or other sensitive financial information as part of our hiring process. If you receive a suspicious message, please do not respond, click any links, or share personal information. Note for recruiting and placement agencies: Camunda does not accept unsolicited agency resumes. Please do not forward resumes to our careers site, employees, or any other Camunda contact unless we have specifically engaged your firm for that search. Camunda will not pay fees related to unsolicited resumes. For information about how your personal data is processed, please refer to Camunda’s Applicant Privacy Policy legal.camunda.com. We note that phone numbers and SMS opt-in data are not shared, sold, or rented to third parties or affiliates for marketing or promotional purposes. By opting in to SMS use, please be aware that: - Text message frequency may vary; - Standard text message and data rates may apply; and - By opting in, you will be enrolled directly in ongoing recruiting text messages from Camunda. To opt-out, simply select 'No' when prompted during your application. You can also change your preferences at any time by contacting talent-operations@camunda.com.

Requirements

Must-haves

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.”
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

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aici/cdml

Platform: ashby
Effort: quick

Benefits

Benefits detected in the listing.

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