Staff Product Analytics Engineer
Core
Design and maintain resilient data infrastructure and scalable platforms to support strategic decision-making, product analytics, and the internal Celonis Digital Twin.
Role type
Staff Data Engineer (Analytics Infrastructure)
Builds
Resilient data ecosystems, scalable data stacks, and the Celonis Digital Twin foundation
Domain
Enterprise SaaS, Process Mining, Data Engineering
Deliverable
production ML models | infrastructure
Required skills
Data engineering, scalable data stack design, multi-cloud architecture, data modeling, stakeholder communication, agile methodology
Preferred skills
Databricks, GCP, AWS, Azure, advanced mathematics, PhD in CS/Data Science
Technologies
Databricks, GCP, AWS, Azure, Jira
Responsibilities
Engage with product and engineering stakeholders to define analytic needs; Design and build resilient data infrastructure from diverse sources; Build scalable platforms for the Digital Twin; Refine data engineering processes for accuracy and integrity; Conduct in-depth analytic investigations for business questions
Seniority
Staff, hands-on IC with technical leadership
