Senior Data & AI Process Intelligence Engineer

avec compétence GmbH; Zürich; On-site; CHF 120,000 - 180,000; Full time

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Data engineering

ETL pipelines

SQL

Relational databases

Data modeling

ETL architectures

Python

AI/ML concepts

English communication

Cloud platforms

Orchestration frameworks

Tools

Celonis

SAP

Oracle

Job description

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.