Overview:
In this role you will own the Celonis platform, driving stability, security and scalability while delivering enterprise-grade data, integration, automation, and AI solutions. You will design and optimize data pipelines, process mining assets, and analytical applications that generate measurable business value. You will lead platform engineering, upgrades, and modernization initiatives, partnering with business, data, and IT teams to deliver future-ready Process Intelligence capabilities. This is a hands-on, impact-focused position within Waters' Process Intelligence team.
Responsibilities:
Translate business requirements into scalable data and automation solutions with global stakeholders Architect, implement, and maintain scalable data pipelines integrating SAP, Salesforce, and ServiceNow with Celonis Design, build, and optimize Celonis data models, dashboards, and AI-enabled automation for actionable insights Establish platform engineering and release management frameworks for upgrades, migrations, and modernization Lead platform transformation initiatives, migrating data models, assets, integrations, and automation across environments Provide production support, troubleshooting, and maintain technical documentation for solutions and architectures Mentor junior engineers and contribute to process intelligence, automation, and AI strategy
Key requirements:
5-7+ years in platform/data engineering, process intelligence, automation, software engineering, analytics, or related fields Hands-on Celonis experience: data engineering, process mining (optional OCPM), platform administration, development, release management, enterprise integrations Proficiency in Python, SQL, APIs, data modelling, and cloud tech (Azure) with enterprise integrations (SAP, Salesforce, ServiceNow, SuccessFactors) Experience delivering scalable enterprise solutions including data, integrations, automation, and AI, with Agile, DevOps, CI/CD practices Excellent analytical, problem-solving, and communication skills; results-driven Bachelor’s degree in a relevant field (Master’s or certifications such as Celonis, RPA, Scrum are a plus) analytical thinking problem-solving clear communication Celonis data engineering process mining data pipelines