Jobs at Celonis

Positions 8,098

Celonis is a German process‑mining leader founded in 2011, headquartered in Munich, that transforms raw data into actionable business insights. Its Celonis Intelligent Business Cloud powers companies worldwide to visualize, analyze, and automate end‑to‑end processes, driving efficiency and cost savings.

Celonis hires across a spectrum of roles—software engineers (Java, Python, cloud), data scientists (big data, ML), product managers, solutions architects, sales engineers, and consulting specialists. Candidates can expect an Agile, data‑centric culture, rapid iteration, and exposure to Fortune 500 enterprises.

By reviewing Celonis listings on Job Transparency, you gain instant access to verified salary ranges, employee sentiment scores, and real‑world interview insights. This data lets you benchmark offers, negotiate confidently, and choose roles that align with your career goals.

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Frequently Asked Questions

What is it like to work at Celonis?

Celonis fosters a high‑velocity, data‑driven environment where engineers work on cutting‑edge process‑mining algorithms. The company offers flexible work arrangements, a flat hierarchy, and a strong commitment to continuous learning. Employees often cite the impact of their work on global enterprises and the collaborative culture as key motivators.

What types of positions are available?

Celonis offers roles in software engineering, data science, product management, solutions architecture, sales engineering, consulting, marketing, HR, and operations. Each role typically involves working with cloud platforms (AWS, Azure), containerization, and data analytics tools such as Snowflake and SAP HANA.

How can I stand out as an applicant?

Showcase a portfolio of process‑mining or data‑engineering projects, quantify results (e.g., reduced process cycle time by X%), and demonstrate proficiency in Java, Python, or SQL. Highlight experience with cloud services, contribute to open‑source, and tailor your cover letter to Celonis’s mission of unlocking business value through data.

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