End-to-End Process Automation Engineer

Flix; Lisboa; Hybrid; EUR 45,000 - 80,000; Full time

Benefits offered by this job

Travel perks

Work from (M)Anywhere

Hybrid work model

Wellbeing support

Learning & Development

Mentoring Program

Job summary

Flix is seeking a Process Automation Specialist to design and deliver end-to-end automated processes on the Celonis platform that resolve customer cases without human intervention for millions of passengers. You turn business requirements into data models, pipelines, and automations, own what you ship in production, and thrive as the most technical person in the room.

You will collaborate daily with business users, data analysts, and IT engineering to ensure scalable, auditable solutions with

Qualifications

• 3+ years creating production automations on process platforms.
• Experience with Celonis or similar orchestration tools is preferred.
• Strong data modelling and ETL concepts.

Responsibilities

• Identify source-system tables and fields for Celonis data models.
• Build and maintain ETL processes and data models for CS processes.
• Design and operate production automations on Celonis (Action Flows, Process Orchestrator).
• Implement integrations with backend systems and AI-driven channels.
• Ensure scalability, error handling, monitoring, and safe rollouts.
• Take over data models and automation logic from external partners.

Skills

Automation platform

Production ownership

Data modelling

SQL

APIs (REST/SOAP)

Python scripting

English communication

Hybrid work environment

Tools

Celonis

n8n

Camunda

UiPath

Power Automate

Make

Job description

Flix is seeking a Process Automation Specialist to design and deliver end-to-end automated processes on the Celonis platform that resolve customer cases without human intervention for millions of passengers. You turn business requirements into data models, pipelines, and automations, own what you ship in production, and thrive as the most technical person in the room.

You will collaborate daily with business users, data analysts, and IT engineering to ensure scalable, auditable solutions with