Celonis Data Engineer — ETL, Data Modeling & Performance

Engenious; Kraków; Hybrid; PLN 248,000 - 276,000; Full time

Benefits offered by this job

Private Medical Care – INTER Polska

Co-funded Multisport Card

Possible training subsidies

Job summary

Engenious is seeking a skilled Celonis Data Engineer to support implementation and optimization of process solutions using Celonis. You will bridge business needs and technical data solutions, ensuring high-quality data integration and performance across systems.

Responsibilities include translating requirements into data specs, identifying source tables, designing ETL processes, building data models in Celonis, and collaborating with stakeholders to validate data accuracy.

Qualifications

• Strong proficiency in SQL and data querying.
• Hands-on ETL and data integration experience.
• Understanding of relational databases and data modeling.

Responsibilities

• Translate business requirements and use cases into clear technical and data specifications.
• Identify and analyze source system tables and fields required for integration into Celonis.
• Design, develop, and maintain ETL (Extract, Transform, Load).
• Build and optimize data models within Celonis for various business processes.
• Collaborate with business stakeholders, functional experts, and IT teams to validate data accuracy and completeness.
• Monitor, troubleshoot, and optimize data queries to ensure optimal system performance and response times.
• Document technical solutions, data flows, and ETL processes in a structured and maintainable way.
• Provide ongoing support and resolve data-related issues in a timely manner.

Skills

SQL

ETL processes

Data integration

Relational databases

Data modeling

Tools

Python

Job description

Engenious is seeking a skilled Celonis Data Engineer to support implementation and optimization of process solutions using Celonis. You will bridge business needs and technical data solutions, ensuring high-quality data integration and performance across systems.

Responsibilities include translating requirements into data specs, identifying source tables, designing ETL processes, building data models in Celonis, and collaborating with stakeholders to validate data accuracy.