Senior Value Engineer - Data & AI (Process Intelligence)

avec compétence GmbH; Zürich; In loco; CHF 120.000 - 180.000; Tempo pieno

Descrizione del lavoro

Industrial technology in Zürich seeks an experienced data engineer to design and manage data pipelines powering process intelligence and AI-driven insights across business systems. You will build scalable ETL from ERP/CRM, model end-to-end business processes, and prepare AI-ready datasets for predictive analytics and anomaly detection.

The role requires 5+ years in data engineering, Celonis experience, SQL and Python proficiency, and strong English communication.

Competenze

• 5+ years of experience in data engineering building data platforms and ETL processes.
• Hands-on Celonis process intelligence experience.
• Experience integrating SAP/Oracle ERP environments.
• Strong SQL, relational databases, data modeling and ETL architecture knowledge.
• Proficiency in Python or similar scripting languages.
• Familiarity with cloud platforms and orchestration frameworks.
• Understanding of AI/ML concepts including predictive analytics and anomaly detection.
• Excellent English communication skills.

Mansioni

• Design, build and maintain ETL pipelines from ERP, CRM and other enterprise systems.
• Develop optimized data models reflecting end-to-end business processes.
• Prepare datasets and features to enable AI/ML use cases such as prediction and anomaly detection.
• Integrate data from SAP, Oracle, databases, APIs and external sources.
• Support implementation of AI-powered capabilities including predictive analytics and automation flows.
• Optimize performance of data models and pipelines for analytics and AI workloads.
• Establish data validation, enrichment and cleansing frameworks.

Conoscenze

Data engineering

ETL pipelines

SQL

Relational databases

Data modeling

ETL architectures

Python

AI/ML concepts

English communication

Cloud platforms

Orchestration frameworks

Strumenti

Celonis

SAP

Oracle

Descrizione del lavoro

You design and maintain data pipelines and models that power process intelligence and AI-driven insights across business systems.

Tasks

• Design, build and maintain ETL pipelines from ERP, CRM and other enterprise systems
• Develop optimized data models reflecting end-to-end business processes
• Prepare datasets and features to enable AI/ML use cases such as prediction and anomaly detection
• Integrate data from SAP, Oracle, databases, APIs and external sources
• Support implementation of AI-powered capabilities including predictive analytics and automation flows
• Optimize performance of data models and pipelines for analytics and AI workloads
• Establish data validation, enrichment and cleansing frameworks

Profile

• 5+ years of experience in data engineering building data platforms and ETL processes
• Minimum 2 years hands‑on experience with Celonis process intelligence
• Experience integrating large-scale ERP environments such as SAP and Oracle
• Strong expertise in SQL, relational databases, data modeling and ETL architectures
• Proficiency in Python or similar scripting languages
• Familiarity with cloud platforms and orchestration frameworks
• Understanding of AI/ML concepts including predictive analytics and anomaly detection
• Excellent English communication skills

Offer

• 3–6 months interim, then a permanent position

Company

Industrial technology