Process Mining Data Engineer

    Responsibilities:

    Look for opportunities to help business teams get more out of Celonis. 

4 to 8 years with experience as a Process Analyst SME in any domain with at least 2-3 years of experience working on Celonis Customer project-based experience working as an Analyst or Data Engineer on Celonis implementations Celonis Analyst/ Data Engineer.

Build and maintain data pipelines that are used to transport data from a data source to a data warehouse / data lake

Work side by side with data scientists and other specialists in the Digital Automation Office team to build custom data pipelines for data analysis

Work closely with the AI Solution Architect to design the architecture of a platform

Analyze and organize raw data (both unstructured and structured data)

Create transformation functions / jobs to transform raw data so it can be analyzed using analytics and process mining tools

Work closely with business partners to understand their business requirements and where data fits in the entire data ecosystem for the organization

Support data preparation activities for predictive and prescriptive modeling

Participate in proof-of-concept activities to test new products related to data engineering (cloud data platforms, ETL tools, etc.)

Lead data discovery and data exploration efforts of new data sources

Recommend ways to improve data accuracy and quality

Monitor the overall performance and stability of data pipelines

Education and personal qualities:

Technical proficiency in backend technical architecture using Celonis. 

Proficiency with SQL, PQL, Celonis analyses development, and SAP.

3+ years in Celonis value saving projects within a complex, global environment.

Certifications: Celonis data analyst and data engineer certification, or equivalent experience 

Ability to demo and present results to business stakeholders. 

Working knowledge of AI/ML concepts and their potential applications in process mining. 

Proven problem-solving skills, business acumen and excellent oral and written communication skills.

Bachelor’s degree in computer science, Software Engineering, Information Technology, or equivalent experience.