Senior Process Mining Developer

• 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

• 5+ 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

Nice-to-have:

• Experience with process mining platforms (e.g., Celonis, Signavio, UiPath)
• Experience working with ERP systems such as SAP or other enterprise systems
• Experience with Python for data processing or machine learning
• Experience designing analytical dashboards or BI solutions
• Familiarity with large-scale enterprise data environments and real-time analytics
• Experience working with event-based or process-oriented data models
• Understanding of supply chain, finance or purchasing business processes

AI/ML affinity:

• Experience working with machine learning or AI-driven analytics use cases
• Interest in integrating AI capabilities into operational analytics and process monitoring
• Openness to using AI-assisted development tools to improve productivity and code quality

• Opportunity to work on a large-scale process intelligence platform used by thousands of users across the organization
• 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

Imagine a company where ALDI’s well-known quality and reliability meet IT expertise and innovation. ALDI International IT Services (AIIS) strives to achieve this every day: as part of ALDI DX, it supports a wide range of IT and business services for the ALDI SÜD Group from Hungary.

Founded in 2012 and operating as an individual business entity since 2018, AIIS has grown to nearly 1,000 employees, with offices in Budapest, Biatorbágy, Pécs and Debrecen. Its portfolio includes IT support for ALDI stores and regional headquarters across Europe and beyond – from the UK and Ireland to Germany, Austria, Italy, Switzerland, Slovenia and Hungary.

Please use our online application and attach your English resume.