Data Engineer

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, and lastly, collaborating with various teams in both the Product and Go-to-market organizations to drive adoption at scale.

The Role:

As a Data Engineer, you will own and focus on primarily two aspects: On the one hand, refining prebuilt transformations for existing ontologies (for processes like Order to Cash, Procure to Pay, Inventory Management) for SAP, Oracle etc and validating them across our early adopters in our customer base. On the other, defining and extending the existing ontologies with additional processes and extending to additional systems. In addition, you would also be responsible for maintaining the quality of content that we produce, and write documentation on the ontology definitions. This will ensure both internal and external application developers will be able to leverage the data foundation to develop their solutions

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.
• 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.
• Facilitate cross-functional interactions with product managers, domain experts, engineers, and consultants..
• Test and validate the models in development environments and customer environments to gather early feedback
• Document the data model governing principles and development

The qualifications you need:

• You have that rare combination—a strong technical expertise and business acumen. You’ll use this to build a system-agnostic data model for various business processes.
• 3+ years of experience working in the data field as a Data Engineer, Data Analyst or similar.
• Must-have: Experience working with data from at least one of the following system types:
  • ERP (e.g. SAP ECC or S/4, Oracle EBS or Fusion)
  • Supply Chain Management (e.g. BlueYonder, SAP or Oracle Transportation Management)
  • CRM (e.g. Salesforce, Microsoft Dynamics)
  • IT (e.g. ServiceNow)
• Strong solution designing skills with solid understanding of business processes (supply chain, financial, CRM or IT-related processes) and data beneath the IT systems that run these processes.
• Experience with databases and data modeling, and hands-on experience with SQL.
• Ability to work independently and own a part of the team’s goals
• Very good knowledge of spoken and written English
• Ability to communicate effectively and build a good rapport with team members