Responsibilities Work with team members to understand business requirements Collaborate with data scientists, business process analysts, and other SMEs to ensure alignment on business objectives and technical requirements Build and customize data models, apps, automations, etc. on the Celonis platform to provide data-driven insights and process optimizations Design, develop, and implement data pipelines within the Celonis internal and external data sources (., SAP, Salesforce, Marketo, SuccessFactors, ServiceNow) Develop and implement data quality and governance processes to ensure data accuracy and integrity Integrate Celonis apps with other enterprise tools, ensuring smooth data flow and system interoperability Build automated workflows to integrate (with) other enterprise systems and applications Optimize and maintain large-scale data processing systems for performance, scalability, and reliability Provide ongoing support for Celonis applications and data pipelines, solving issues and ensuring high system uptime Qualifications 8+ years dynamic experience in data engineering, data science, software development, analytics or similar roles Validated experience working with Celonis or equivalent platforms, including data engineering, analytics, process mining, app development, and automation Track record of optimally completing projects across people, process, data, and technology in complex, global organizations Strong proficiency in data engineering and software development; Experience with programming languages such as Python, SQL Solid understanding of data modelling, warehousing, and governance practices Familiarity with common enterprise systems (SAP, CRM, HRM, and integrating data from such systems into the Celonis platform Hands-on experience with process automation and orchestration tools a plus Familiarity with cloud platforms (., Azure) and distributed data systems Ability to optimally translate business problems into implementable solutions with quantifiable business benefits Results oriented mentality, operates with high sense of urgency.
Proven track record of solving problems, breaking down barriers and delivering results ahead of schedule Strong written and verbal communication Knowledge of business process modelling and process mining solutions a plus Experience working on an Agile / Scrum team a plus Product Owner and/or Scrum Master certifications a plus Bachelor's Degree in Computer Science, Data Engineering, or a related subject area.
Master's Degree preferred