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The Opportunity

In our data‑driven organization, we rely on accurate, timely, and high‑quality process insights to improve operational performance and enable informed decision‑making. As a Celonis CoE Senior Value Engineer (Data & AI Focus), you will play a key role in enabling these insights by designing and maintaining robust data pipelines, modeling process data, and integrating information from core business systems into the Celonis platform.

Additionally, you will help industrialize AI-driven process intelligence, enabling predictive insights, automation, and decision support across SCM and other domains—reducing dependency on manual analysis and accelerating value realization.

How You’ll Make an Impact

  • Data Pipeline Engineering: Design, build, and maintain reliable ETL pipelines to extract, transform, and load data from ERP, CRM, and other enterprise systems into Celonis.

  • Data Modeling: Develop optimized data models to reflect end‑to‑end business processes, enabling advanced process mining, root‑cause analysis, and AI-driven insights.

  • AI Enablement of Process Intelligence: Enable AI/ML use cases (e.g., prediction, anomaly detection, root cause analysis) by preparing high-quality datasets, features, and data structures to support advanced analytics.

  • Integration Ownership: Integrate data from SAP, Oracle, databases, APIs, and external sources, ensuring consistent data availability for both analytics and AI use cases.

  • AI & Automation Integration: Support implementation of AI-powered capabilities within Celonis (EMS, action flows, predictive analytics, AI copilots), embedding intelligence into workflows and decision-making.

  • Performance Optimization: Continuously improve performance of Celonis data models and pipelines to support scalability for analytics and AI workloads.

  • Data Quality for AI: Establish data validation, enrichment, and cleansing frameworks to ensure reliability of both reporting and AI-driven outputs.

  • Collaboration & Enablement: Partner with Value Engineers and business teams to translate process use cases into scalable data and AI solutions, enabling faster use case deployment.

  • Documentation & Transparency: Maintain clear documentation on data pipelines, transformation logic, AI data readiness, and model dependencies.

  • Continuous Innovation: Stay current with advancements in Celonis EMS, AI/ML, LLMs, and data engineering, identifying opportunities to enhance process intelligence with automation and AI.

  • Operational Excellence: Support development of dashboards, action flows, automations, and AI-assisted insights to drive measurable business outcomes.

Your Background

  • 5+ years of experience in Data Engineering, building and managing data platforms, pipelines, ETL processes, and enterprise data solutions.

  • Minimum 2 years proven hands-on experience with Celonis, leveraging process intelligence to drive business insights and operational improvements.

  • Experience integrating and working with large-scale ERP environments such as SAP and Oracle.

  • Strong expertise in SQL, relational databases, data modeling, ETL architectures, and enterprise data flows.

  • Proficiency in Python or similar scripting languages for data transformation, automation, and workflow optimization.

  • Familiarity with cloud platforms, orchestration frameworks, and scalable data architectures.

  • Understanding of AI/ML concepts including predictive analytics, anomaly detection, classification models, and advanced analytics applications.

  • Experience preparing and managing data for AI use cases, including data quality, feature engineering, and model integration into business processes.

  • Ability to translate complex technical, data, and AI concepts into actionable business insights while collaborating effectively across IT, data science, and business teams.

  • Passion for Process Intelligence, Automation, and AI-driven transformation, combined with a strong ownership mindset, continuous learning approach, and excellent English communication skills.

More about us 

We offer a competitive Swiss benefits package designed to support your professional growth and well‑being. Depending on experience and role, this may include: 

  • Pension and insurance plans 

  • Flexible working arrangements 

  • Learning and development opportunities 

就業場所 Zurich, Zurich, Switzerland
職種 Full time
勤務形態 Hybrid
体得 Experienced
職務 IT, Telecom & Internet
契約 Regular
発行日 2026-10-22
整理番号 R0130653

日立エナジーについて

日立エナジーは、現在そして今後25年間のエネルギー需要に応えるべく、電力の時代を支え、次の未来を切り拓くグローバルリーダーです。日立グループのエネルギー事業部門として、先進的かつミッションクリティカルな技術で、30億人以上の人々の生活を支えています。

当社は、100年以上にわたるイノベーションを通じて、エネルギー分野の喫緊の課題に取り組んでいます。それは、現在、そして次世代のために、豊富で安全、経済的かつ持続可能な電力を確保するため、世界のエネルギーシステムの進化を推進することです。

世界140カ国以上での豊富な導入実績を有し、電力、産業、データセンター、交通の各産業分野のお客さまと長期的なパートナーシップを築いています。スイスに本社を置き、60カ国で56,000人以上の従業員を擁し、約2兆4,000億円の事業規模を有しています。