Process Mining Consultant – Celonis (Contract) Location: Spain (Madrid area) – Hybrid, with periodic on-site travel required Engagement: Contract Duration: 6 Months (extendable) The adecuado candidate will independently lead a data engineering team on Process Intelligence (Celonis) implementation projects, working with process data of varying complexity across industries — while remaining hands-on with the technology. This role is responsible for making digital business processes transparent and harmonizing data flow through Process Intelligence Technology, data extraction, and transformation. Responsibilities * Independently lead a data engineering team delivering Process Intelligence solutions using Celonis * Remain hands-on — develop and deploy solutions alongside the team * Collaborate with stakeholders to gather requirements and translate them into technical specifications * Lead setup of data extraction pipelines using both out-of-the-box and custom connectors * Apply strong working knowledge of Celonis ETL — Extraction, SQL Transformations, Data Pools,



Data Jobs * Use Vertica SQL to create custom activities in Celonis * Optimize data pipeline performance * Analyze process data to identify inefficiencies and recommend improvements * Allocate work, review deliverables, and mentor data engineers on the team Technical Qualifications * Strong knowledge of Knowledge Models, Views, Analysis * Strong knowledge of Celonis front-end functions — PQL, PU functions * Experience integrating Process Intelligence tools with existing systems * Ability to serve as liaison across business analysts, PMs, and stakeholders * Experience with Action Flows, Action Views, and ML capabilities for operationalizing Celonis * Current knowledge of Celonis latest AI capabilities Minimum Qualifications * 8+ years Data Engineering/analytics experience, strong SQL and relational database background * Demonstrated experience independently leading a data engineering team * Prior ERP experience (SAP

📌 Business Process Management Consultant (Comunidad de Madrid)
🏢 Pixie
📍 Comunidad de Madrid