Job Title: Data Engineer - Process Intelligence
Job Summary:
* An ideal candidate is a proactive team player with over 5 years of experience as a Data Engineer, possessing strong expertise in Celonis, data analytics, and data modelling. The role involves close collaboration with business teams to transform raw data into actionable insights and drive process improvements.
Key Responsibilities:
* Build and optimize data pipelines and data models
* Work with Celonis to analyse and improve business processes
* Act as a consultant within the BI team, challenging briefs and recommending better analytical approaches
* Use SQL and PQL for data analysis and process optimization
* Take ownership of a specific business area within Döhler, managing both backend (coding) and frontend (interface building)
* Partner with stakeholders to deliver data-driven solutions
* Collaborate cross-functionally to understand business needs and give strategic recommendations
* Identify and implement process improvements
* Work across core processes like Purchase to Pay (sourcing) and Order to Cash (sales), with flexibility to support other areas
* Experience with Celonis is a strong plus, especially in process mining, data modelling, and performance monitoring. A background in business partnering and process ownership is essential.
* You’ll be reporting to the Digital Business Excellence team, seated with the IT department, and should possess a creative, outside-the-box mindset to drive innovation and value.
Qualifications:
* Experience in roles such as Data Engineer, Data Analyst, BI Analyst, Product Analyst, or similar
* Bachelor’s degree in data Analytics, Informatics, or a related field
* Creative, proactive, detail-oriented, and works with a systematic mindset
* Data Engineer with 5+ years of experience and a strong background in Celonis, data analytics, and data modelling.
* Fluent in German and English
Seniority Level
* Executive
Employment Type
* Full-time
Job Function
* Business Development, Engineering, and Strategy/Planning
Industries
* Food and Beverage Manufacturing, Transportation, Logistics, Supply Chain and Storage, and Manufacturing
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