Associate Deployment Engineer - Galaxy Graduate Program

About the role

In this role you have the chance to launch your career in the enterprise software world by joining the Galaxy Graduate Program as an Associate Deployment Engineer. The Galaxy Program will provide you with a structured approach to kick start your career within Celonis, learning and delivering value to our customers, over a period of 12 months. In particular, Galaxy’s cohort structure will develop your expertise across the Celonis value journey with a focus on learning the technology, implementation cycle, approaches to innovation and automation, enablement, support, and customer engagement best practices.

Responsibilities

• Deploy high-value use cases utilizing a combination of data analytics, data science, machine learning, and GenAI
• Perform complex data transformations with SQL and python to optimize data for analysis
• Complete practical assignments across a variety of customer projects
• Implement and configure the Celonis platform for customers
• Communicate and collaborate directly with the end customer to gather requirements and showcase deliverables
• Collaborate with consultants and internal stakeholders to develop-out value driven operational solutions
• Build-out critical KPIs and integrate them into customer solutions
• Develop Python scripts utilizing our Machine Learning Workbench (MLWB) to efficiently consume, transform, and transmit data to the Celonis platform
• Have the opportunity to collaborate with various teams within the Celonis organization, including but not limited to: Business Analytics, Business Apps, Product and Engineering, Solution Architecture, Celonis Support, Academy and Global Programs

Requirements

• A degree in the field of Information Systems, Computer Science, Engineering, Mathematics, or a comparable degree program
• 0-2 years experience in the fields of (IT-) Consulting, Data Science, or a similar area in the form of an internship or entry-level position
• Strong interest in Big Data, Data Mining, LLMs, and Process Mining, seeking to continuously improve in these areas

Qualifications

• Enjoy interacting with various customers
• Understand and are able to interpret business processes
• Analytical skills with basic knowledge of SQL or other programming languages (Python, R, Matlab)
• Comfortable with steep learning curves
• Able to consistently work through challenging problems by applying a combination of critical thinking and resourcefulness
• Fluency in English
• Note: Visa sponsorship is not offered for this role

Skills

• Data analytics
• Data science
• Machine learning
• GenAI
• SQL
• Python (including Machine Learning Workbench - MLWB)
• Big Data
• Data Mining
• LLMs
• Process Mining

Benefits

• Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI