Data Engineer - Applied AI

<div class="content-intro"><p>We're Celonis, the global leader in Process Intelligence technology and one of the world's fastest-growing SaaS firms. We believe there is a massive opportunity to unlock productivity by placing AI, data and intelligence at the core of business processes - and for that, we need your help. Care to join us?</p></div><p><strong>The Team:</strong></p> <p>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.</p> <p><strong>The Role:</strong></p> <p>As a <strong>Data Engineer - Applied AI</strong>, 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. </p> <p><strong>The work you’ll do:</strong></p> <ul> <li>Build data models for the defined ontologies and mappings using the object-centric process mining methodologies with performant SQL transformations.</li> <li>Use AI-assisted workflows and agentic tooling to design and implement business objects, process events, and data models in the Celonis platform.</li> <li>Research and design: </li> <ul> <li>ontologies for new business processes, improve and extend capabilities of existing ones.</li> <li>the source system transformations to map them with the defined ontologies.</li> </ul> <li>Build and own the set of tools pipelines we use to publish distribute Celonis Data Model.</li> <li>Collaborate closely with software engineering teams for requirements, timeline, and dependencies of content distribution.</li> <li>Serve as the primary link for discussions between the Business Apps and Product Engineering Team.</li> <li>Test and validate the models in development environments and customer environments to gather early feedback.</li> <li>Document the data model governing principles and development </li> <li>Drive AI adoption to accelerate development and end-user adoption throughout the department</li> </ul> <p><strong>The qualifications you need:</strong></p> <ul> <li>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. .</li> <li><strong>3+ years</strong> of experience in AI-assisted engineering and the development of agentic workflows.</li> <li><strong>Must-have: </strong></li> <ul> <li>Hands-on <strong>expertise with SQL</strong> and applying <strong>AI tools or automation frameworks</strong> in data workflows.</li> <li>Expert proficiency in <strong>Python</strong>, with a strong emphasis on data analysis, numerical simulation, and data pipelines.</li> </ul> <li>You can build, test, and deploy AI applications using LLMs and frameworks.</li> <li>You are skilled in designing systems to improve model responses with external knowledge bases.</li> <li>You can implement observability tools to monitor performance, latency, and cost.</li> <li>You possess the ability to optimize prompts to enhance accuracy and reduce hallucinations.</li> <li>You are proficient in data modeling best practices.</li> <li>You have working knowledge of Cloud Platforms including AWS, Azure, or GCP, as well as CI/CD pipelines and Git.</li> <li> ... (truncated, view full listing at source)