Sr. Data Engineer

Responsibilities

• Work with team members to understand business requirements
• Collaborate with process analysts, data scientists, and domain experts to ensure alignment on business objectives and technical requirements
• Build and customize data models, apps, automations, etc. on the Celonis platform to deploy AI agents, process orchestrations, process improvements, and analytics solutions
• Design, develop, and implement data pipelines within the Celonis internal and other data sources (e.g., SAP, Salesforce, Databricks)
• 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
• Document technical specifications, solutions, and processes for future reference

Qualifications

• 6+ years dynamic experience in data engineering, data science, software development, analytics or similar roles
• Validated experience working with the Celonis platform or equivalent platforms, including data engineering, 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, etc.) 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 (e.g., Azure) and distributed data systems
• 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