Staff Data Engineer

vor 2 Wochen

Munich, Bayern, Deutschland Celonis Vollzeit
About the Role

Celonis is seeking a highly skilled Staff Data & Machine Learning Engineer to join our team. As a key member of our Process Mining team, you will be responsible for improving and extending our existing Task Mining ETL pipeline, as well as building production-ready AI-based features into the Task Mining product.

Key Responsibilities
  • Design, build, and maintain robust, scalable data pipelines that facilitate the ingestion, processing, and transformation of large datasets.
  • Drive the development of AI-powered features and applications from scratch within the Task Mining product.
  • Implement data strategies and develop data models.
  • Collaborate with other engineering teams to implement, deploy, and monitor ML models in production, ensuring their performance and accuracy.
  • Leverage machine learning techniques to provide actionable insights and recommendations for process optimization.
  • Write performant, scalable, and easy-to-understand SQL queries and optimize existing ones.
  • Learn PQL (Process Query Language – Celonis' own language for analytical formulas and expressions) and use it to query data from our process mining engine.
  • Own the implementation of end-to-end solutions: leading the design, implementation, build, and delivery to customers.
  • Provide technical leadership and mentorship to other engineers and team members.
  • Lead design discussions, code reviews, and technical planning sessions to ensure high standards and knowledge sharing.
Requirements
  • 8+ years of practical experience in a Computer Science/Data Science-related field.
  • Or PhD in Data Science/AI/ML area with 5+ years of practical experience.
  • Experience with building production-ready and scalable AI/ML applications in the Python ecosystem.
  • Ability to optimize data pipelines, applications, and machine learning models for high performance and scalability.
  • Understanding of ETL jobs, data warehouses/lakes, data modeling, schema design.
  • Excellent command of SQL, including query optimization principles.
  • Ability to assess dependencies within complex systems, quickly transform your thoughts into an accessible prototype, and efficiently explain it to diverse stakeholders.
  • Experience with containerization and CI/CD pipelines (e.g., Docker, GitHub Actions).
  • Interest in learning new technologies (e.g., PQL language and Object Centric Process Mining).
  • Strong communication and collaboration skills (English is a must).
  • Able to supervise and coach mid-level and senior colleagues.
  • Knowledge of Column-oriented DBMS (e.g., Vertica) and its specific features would be beneficial.
  • Nice to have is knowledge in the frameworks TensorFlow, PyTorch, Langchain, FastAPI, SQLAlchemy.
About Celonis

Celonis is the global leader in Process Mining technology and one of the world's fastest-growing SaaS firms. We believe there is a massive opportunity to unlock productivity by placing data and intelligence at the core of business processes. Our Process Intelligence platform uses industry-leading process mining technology and AI to present companies with a living digital twin of their end-to-end processes.

Get familiar with the Celonis Process Intelligence Platform by watching this video.

Celonis is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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