Data Engineer - Applied AI

The Team:

You will be joining the Business Apps department. Our mission is to build end-to-end solutions on the Celonis platform, including data models and end-user applications,  to accelerate time to value for our customers and partners. The Catalog team within Business Apps specializes in three aspects: Defining the data ontology of the most common business processes; Building prebuilt transformations for such ontologies for major source systems like SAP, Oracle etc (leveraging the latest AI tools and agentic workflows to accelerate design, transformation development, and model validation); Collaborating with various teams in both the Product and Go-to-market organizations to drive adoption at scale.

The Role:

As a Data Engineer - Applied AI, you will own and focus on primarily two aspects: owning the set of tools and data pipelines that we use to publish pre-built data models to our customers (leveraging AI and automation wherever possible), and innovating AI-driven methodologies to accelerate our own content development, as well as accelerate customer adoption of our content. 

The work you’ll do:

• Build data models for the defined ontologies and mappings using the object-centric process mining methodologies with performant SQL transformations.
• Use AI-assisted workflows and agentic tooling to design and implement business objects, process events, and data models in the Celonis platform.
• Research and design: 
• ontologies for new business processes, improve and extend capabilities of existing ones.
• the source system transformations to map them with the defined ontologies.
• Build and own the set of tools & pipelines we use to publish & distribute Celonis Data Model.
• Collaborate closely with software engineering teams for requirements, timeline, and dependencies of content distribution.
• Serve as the primary link for discussions between the Business Apps and Product & Engineering Team.
• Test and validate the models in development environments and customer environments to gather early feedback.
• Document the data model governing principles and development 
• Drive AI adoption to accelerate development and end-user adoption throughout the department

The qualifications you need:

• You have that rare combination - a strong technical expertise and business acumen. You’ll use this to expand our offering of pre-built data models that drive tangible customer value. .
• 3+ years of experience in AI-assisted engineering and the development of agentic workflows.
• Must-have: 
• Hands-on expertise with SQL and applying AI tools or automation frameworks in data workflows.
• Expert proficiency in Python, with a strong emphasis on data analysis, numerical simulation, and data pipelines.
• You can build, test, and deploy AI applications using LLMs and frameworks.
• You are skilled in designing systems to improve model responses with external knowledge bases.
• You can implement observability tools to monitor performance, latency, and cost.
• You possess the ability to optimize prompts to enhance accuracy and reduce hallucinations.
• You are proficient in data modeling best practices.
• You have working knowledge of Cloud Platforms including AWS, Azure, or GCP, as well as CI/CD pipelines and Git.
• You have experience transitioning prototypes into scalable production systems using Docker, FastAPI, and API integration.
• Experience working in the data field as a Data Engineer, Data Analyst or similar with at least one of the following system types will be a plus:
• ERP (e.g. SAP ECC or S/4, Oracle EBS or Fusion)