Develop and maintain Celonis integrations, lead data model design, and implement scalable data ingestion processes. Ensure reliable connections to source systems and perform ETL operations. Collaborate with clients and teams to align technical delivery with project goals.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
**We can't work with 3rd parties or provide sponsorship for this role**
Role Title: Celonis Data Engineer
Employment Type: 6-month Contract
Location: Milwaukee, WI or Remote in USA
Role Description:
- Develop and maintain Celonis integrations, including ETL (Extract, Transform, Load) pipelines and data connectors, leveraging SQL, Python, and the Celonis Platform.
- Lead the design, development, and implementation of data models and ETL solutions to integrate functional data into Celonis.
- Build process intelligence solution views, analyses, and dashboards to enable actionable insights for clients.
- Design and implement scalable data ingestion processes from ERP systems and third-party applications.
- Ensure reliable and secure connections to source systems using technologies such as JDBC for database connectivity and Kafka for real-time data streaming.
- Perform ETL operations, troubleshoot data connections, and validate large datasets for accuracy and performance.
- Optimize Celonis data models and ETL processes for performance and scalability.
- Design, develop, and implement audit processes to ensure data integrity from application platforms to Celonis.
- Govern access rights for Celonis processes and maintain operational support for the Celonis production platform.
- Collaborate with clients, Celonis teams, and third-party resources to align technical delivery with project goals.
- Participate in workshops, demos, and client-facing sessions to showcase technical capabilities.
- Facilitate and lead the establishment of governance and Process Intelligence best practices.
- Provide ongoing support to business and technology teams to ensure continuous improvement.
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Requirements:
- A minimum of 5 years overall experience, with at least 3 years hands-on in Celonis or process mining tools.
- Strong understanding of process mining methodologies, process improvement frameworks, and business process management (BPM).
- Strong proficiency in SQL and PL/SQL (must-have), Python, and data modeling.
- Expertise in ETL processes for data extraction and transformation.
- Proven experience with Celonis features and capabilities, including data model optimization.
- Ability to interpret complex data and deliver meaningful business insights.
- Excellent communication and interpersonal skills with a strong collaboration mindset.
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Nice to Have:
- Celonis Analyst and Data Engineer certifications.
- Experience with streaming technologies (e.g., Kafka) for real-time data integration.
- Proven experience with ERP systems and related databases.
- Familiarity with agile delivery methodologies (Scrum, Kanban) and enterprise change initiatives.
- Exposure to process automation best practices and governance frameworks.
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