Principal Data
2 days ago
Job Details
- 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 Business Intelligence 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 pipelines, apps, and process automations related to managing and improving business performance through, e.g., digital scorecards on the Celonis platfrom.
- This will require you to understand business needs in various domains, define groundbreaking 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 environment, with experience in conceptual and analytical problem solving related to business analytics, OKRs, KPIs, etc.
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, 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
- Document technical specifications, solutions, and processes for future reference
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, 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
- Bachelors Degree in Computer Science, Data Engineering, or a related subject area.
- Master's Degree preferred
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