About the position
Our Center for Process Excellence team is on a mission to improve business outcomes and employee experiences by driving step-change improvements in critical enterprise processes, and the technology and analytics supporting these. We are looking for a Principal Data Engineer to join our Commercial Excellence team, and the broader Data Engineer community in our Center for Process Excellence. As a Principal, Data Engineer, you will be responsible for implementing data solutions, app development, and process automation on the Celonis, Salesforce.com, and Marketo platforms. This will require you to understand business needs in various domains, define ground breaking solutions that meet the needs, and work collaboratively as part of a multi-functional team to deliver the solutions. Success will require close collaboration with stakeholders across multiple functions, and the ability to influence changes in a global organization. This position is ideally suited for an individual who is comfortable in a dynamic, commercial environment, with experience in conceptual and analytical problem solving related to Commercial Excellence topics, such as Customer Master Data, Customer Segmentation, and Sales Funnel Analytics.
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 (e.g., SAP, Salesforce, Marketo)
- 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
Requirements
- 8+ years dynamic experience in data engineering, data science, software development, analytics or similar roles
- Validated experience working with Salesforce.com, Marketo, and 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, 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
- 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
Benefits
- The general base pay for this position ranges from US$134,500 to $179,500 per year. Pay is based on several factors including market location, job-related knowledge, skills, and experience.
