Celonis Data Engineer

Be in IT is a recruitment company specializing in comprehensive support for clients in IT technology needs. Operating since 2016 and as a freelancer since 2021, it focuses on delivering precise and comprehensive job offers and effective recruitment conversations. The company holds a certificate from the National Employment Agency Register (number 27663).

• Experience in comprehensive Celonis platform implementations for clients (end-to-end).
• Practical experience integrating Celonis with ERP and IT systems operating on-premise and/or cloud.
• Documented experience with data models and analyses in Celonis (certification welcomed).
• Very good understanding of business processes (P2P, O2C, R2R).
• Advanced knowledge of SQL and data visualization skills.
• Ability to work independently with full responsibility for tasks.
• Minimum 6 months of practical experience in data engineering.
• Experience working with clients and conducting workshops.
• Strong communication and organizational skills with structured problem-solving, time management, and prioritization.
• Higher education preferred in econometrics, mathematics, statistics, computer science, or related fields.
• English language proficiency at C1 level for direct communication with international clients.
• Availability ASAP preferred; maximum one-month notice period acceptable.
• 6 years of experience in a similar position.
• Knowledge of CentOS, Data modeling, SQL.

Nice to have:

• Data visualization.
• Data integration.

• Long-term cooperation with an international consulting company providing IT services to large and medium clients.
• Implementing process mining solutions on the Celonis platform in projects for multiple clients.
• Transforming business requirements into technical requirements, solution design, and documentation.
• Designing and maintaining data models in Celonis: event and case calculations and data integration from various source systems.
• Performing data engineering tasks: table transformations using SQL, join optimization, creating objects and events in Celonis, and exploring new tables.
• Building analytical dashboards showing process execution and variants.
• Client support: workshops and requirements discussions.
• Coaching and mentoring junior data engineers.