Celonis Data Engineer

We can't work with 3rd parties or provide sponsorship for this role

Employment Type: 6-month Contract

Location: Milwaukee, WI or Remote in USA

• 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.

• 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.

• 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.