Celonis CoE - Senior Value Engineer

Description

The team is a Center of Excellence for Celonis, focused on process intelligence. The role supports data and AI work on process insights used for better operational performance and decisions.

The focus is on industrialising AI-driven process intelligence across supply chain management and other areas, so teams rely less on manual analysis and reach value sooner.

Responsibilities

• Build and maintain reliable ETL pipelines that move data from ERP, CRM and other enterprise systems into Celonis.
• Model data so it reflects end-to-end business processes, enabling process mining, root-cause analysis and AI-driven insights.
• Prepare high-quality datasets, features and data structures for AI and ML use cases such as prediction, anomaly detection and root-cause analysis.
• Bring data from SAP, Oracle, databases, APIs and external sources together, keeping it consistently available for analytics and AI.
• Help implement AI capabilities in Celonis, including EMS, action flows, predictive analytics and AI copilots, to put intelligence into workflows and decisions.
• Improve the performance of Celonis data models and pipelines so they scale for analytics and AI workloads.
• Set up validation, enrichment and cleansing frameworks that keep reporting and AI outputs reliable.
• Work with Value Engineers and business teams to turn process use cases into scalable data and AI solutions that deploy faster.
• Document data pipelines, transformation logic, AI data readiness and model dependencies.
• Follow developments in Celonis EMS, AI/ML, LLMs and data engineering, and find ways to add automation and AI to process intelligence.
• Support dashboards, action flows, automations and AI-assisted insights that deliver measurable business results.

Requirements

• At least 5 years in data engineering, building and running data platforms, pipelines, ETL processes and enterprise data solutions.
• At least 2 years of hands-on Celonis experience, using process intelligence to produce business insights and operational improvements.
• Experience working with large-scale ERP environments such as SAP and Oracle.
• Strong SQL, relational database, data modelling, ETL architecture and enterprise data flow skills.
• Proficiency in Python or a similar scripting language for data transformation, automation and workflow optimisation.
• Familiarity with cloud platforms, orchestration frameworks and scalable data architectures.
• Understanding of AI and ML concepts, including predictive analytics, anomaly detection, classification models and advanced analytics.
• Experience preparing and managing data for AI, including data quality, feature engineering and integrating models into business processes.
• Ability to explain complex technical, data and AI topics in business terms and work across IT, data science and business teams.
• Enthusiasm for process intelligence, automation and AI-driven change, a strong sense of ownership, a habit of continuous learning and excellent English communication.

Conditions

Location: Zurich, Zurich, Switzerland.

Full-time position, not remote.

Job ID R0130653, posted 2026-07-20.

Job category: IT, Telecom & Internet.

The employer is the company Energy Holdings Ltd.

Pre-employment background checks apply, and some roles may require more extensive screening, such as enhanced criminal history checks, credit reviews where legally permitted, or sanctions screening. Candidates are notified and asked for consent where required.

Equal-opportunity note: the company values accessibility support for applicants with disabilities.

Benefits

• Competitive Swiss benefits package, which depending on experience and role may include pension and insurance plans, flexible working arrangements, and learning and development opportunities.