Staff Data & Machine Learning Engineer

Celonis, the global leader in Process Mining technology, is seeking a Staff Data & Machine Learning Engineer to join their Task Mining team. This role involves improving and extending the existing Task Mining ETL pipeline and building production-ready AI-based features into the Task Mining product. The ideal candidate will have expertise in data engineering, software development, and machine learning, with a strong focus on Python.

Key responsibilities include:

• Designing and maintaining scalable data pipelines for large datasets
• Developing AI-powered features for the Task Mining product
• Implementing data strategies and models
• Collaborating with other teams to deploy and monitor ML models in production
• Leveraging machine learning for process optimization insights
• Writing and optimizing SQL queries
• Learning and using PQL (Process Query Language)
• Providing technical leadership and mentorship

Requirements:

• 8+ years of experience in Computer Science/Data Science or a PhD with 5+ years of practical experience
• Experience building production-ready AI/ML applications in Python
• Strong skills in data pipeline optimization and ETL processes
• Excellent command of SQL and query optimization
• Experience with containerization and CI/CD pipelines
• Strong communication and collaboration skills

Celonis offers a unique opportunity to work with industry-leading process mining technology, investment in personal growth, competitive compensation including equity, and a supportive work environment focused on employee well-being and diversity.