Celonis Data Engineer

• • 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. 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. 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.