Business Process Management Consultant

PIXIE; Comunidad de Madrid; Híbrido; EUR 70.000 - 110.000; A tiempo parcial

Descripción de la vacante

PIXIE is seeking a Process Mining Consultant to lead a data engineering team on Celonis implementations in the Madrid area. The role is hands-on and requires independent leadership of data pipelines, ETL, and Celonis data models across varying industries.

You will collaborate with business analysts and PMs, gather requirements, and translate them into technical specifications while mentoring engineers and ensuring delivery of process intelligence solutions with Celonis.

Formación

• 8+ years data engineering/analytics experience with strong SQL and relational DB background
• Demonstrated experience independently leading a data engineering team
• ERP experience (SAP ECC / S/4HANA / Oracle Cloud / Oracle EBS R12) with strong process understanding

Responsabilidades

• 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

Conocimientos

Data engineering

SQL

Leadership

Communication

Educación

BE/BTech or MS/MTech in Computer Science or related field

Herramientas

Celonis

Vertica SQL

Descripción del empleo

Process Mining Consultant – Celonis (Contract)

Location: Spain (Madrid area) – Hybrid, with periodic on-site travel required

Engagement: Contract

Duration: 6 Months (extendable)

The ideal 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 ECC / S/4HANA / Oracle Cloud / Oracle EBS R12) with strong process understanding

Preferred Qualifications

• BE/BTech or MS/MTech in Computer Science, Mathematics, Physics, or related field
• Strong communication skills across all organizational levels
• Proven analytics skills — mining, evaluation, analysis, visualization
• Celonis certification (Data Engineer / Analyst / Implementation Professional)