Full Stack Data Engineer

The role

You will build the Holistic Data Platform, including a data warehouse, consumption layer, and context layer. You will work with leaders in Corporate Strategy, Finance, Sales, Product, and Marketing to ensure data reliability for people and agents.

What you will do

• Build evals for agents that sit on HDP.
• Review and fix agent answers in data, docs, or prompt context.
• Manage pipelines and platform including ingestion, orchestration, dbt, CI/CD, and cost control.
• Help figure out where customers are getting stuck.
• Work with the product team to make sense of telemetry.
• Define, test, and monitor data quality for important metrics.
• Reconcile HDP against data sources.
• Enable analysts and business owners to get answers.

Required qualifications

• Experienced data engineer with ML/AI experience.
• 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.
• Several years of experience with dbt.
• 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.
• Passion for clean code and writing automated tests.

Benefits

• Work from anywhere with home office budget and co-working space support.
• Flexible time off.
• Annual Kickoff and team offsites.
• Camundi Connection Budgets for meetups and local gatherings.
• Locally tailored healthcare.
• Modern Health for global mental wellbeing.
• Live Well Lifestyle Spending Account (LSA).
• Retirement and pension plans.
• Life and disability insurance.
• Up to $/€/£1,000 per year for self-driven learning.
• Equity through Virtual Stock Option Plan (VSOP).

Before you apply

• Camunda may use AI tools to aid the screening of applications and during the interview process.

About the company

Camunda is the enterprise platform for agentic orchestration, enabling organizations to coordinate AI agents, people, and systems. It is a global, remote-first organization transforming into an AI-first organization.