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GlobalPeopleTransitions

Process Mining Developer – Mid-level

GlobalPeopleTransitions

Process Mining Developer at ALDI focusing on Celonis process intelligence solutions for business optimization. Building data pipelines, dashboards, and collaborating with stakeholders to enhance operations.

Posted 6/8/2026full-timeBudapest • 🇭🇺 HungaryMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
ERPETLSQL

About the role

Key responsibilities & impact
  • Designing, building and maintaining Celonis process intelligence solutions used to monitor and optimize critical business processes
  • Developing data pipelines and transformations that integrate data from multiple enterprise systems (e.g., ERP, finance, supply chain systems) into the Celonis platform
  • Building and maintaining real-time and analytical dashboards that provide operational insights to business stakeholders
  • Implementing process models using Object-Centric Process Mining (OCPM) concepts such as objects, events and relationships
  • Writing and optimizing complex SQL queries to model business processes, calculate KPIs and enable advanced analytics
  • Contributing to machine learning and AI-supported use cases within the Celonis ecosystem (e.g., anomaly detection, duplicate invoice detection)
  • Developing and maintaining automation workflows using Celonis ActionFlows to trigger operational actions based on process insights
  • Monitoring and optimizing data flows, ensuring reliable data availability and performance for dashboards and analytics
  • Collaborating closely with business stakeholders to understand process requirements and translate them into scalable data models and solutions
  • Participating in process workshops to identify relevant business objects, events and relationships within operational workflows
  • Supporting the full lifecycle of Celonis applications including development, release and operational maintenance
  • Working closely with DevOps engineers to ensure stable deployments, monitoring and operational reliability

Requirements

What you’ll need
  • 3+ years of professional experience in data engineering, analytics engineering, BI engineering or a similar data-focused role
  • Strong SQL skills and experience writing complex queries involving joins, aggregations and performance optimization
  • Experience working with relational databases and large datasets
  • Solid understanding of data modeling concepts and relational data structures
  • Experience building data pipelines, ETL processes or analytical data models
  • Ability to translate business questions into data solutions and analytical models
  • Experience collaborating with business stakeholders and participating in requirement workshops
  • Practical experience using Git for version control and collaborative development
  • Experience working in an agile development environment
  • Strong analytical thinking and the ability to understand relationships between complex datasets
  • Growth-oriented mindset with willingness to learn new platforms and technologies
  • Comfortable working in an environment that includes operational responsibility; on-call participation may be required later

Benefits

Comp & perks
  • Opportunity to work on a large-scale process intelligence platform used by thousands of users
  • Participation in building advanced analytics and automation solutions that directly improve business operations
  • Small, highly technical teams with strong ownership of solutions and architecture
  • Exposure to modern data engineering practices and enterprise-scale analytics environments
  • Opportunities to work with cutting-edge technologies such as process mining, real-time analytics and AI-driven insights
  • Strong support for professional growth through trainings, conferences and internal knowledge sharing
  • Open, collaborative working culture with close interaction between engineering and business teams
  • International collaboration with teams across multiple business domains
  • Flexible working hours with home office possibility

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
SQLdata engineeringanalytics engineeringBI engineeringdata pipelinesETL processesdata modelingmachine learningObject-Centric Process MiningCelonis
Soft Skills
analytical thinkingcollaborationcommunicationproblem-solvinggrowth-oriented mindsetrequirement gatheringstakeholder engagementadaptabilityteamworkattention to detail