Data engineer for process mining

Data Engineering Leadership:

• Assuming responsibility for developing/improving, operation and maintenance of specific system modules (E2E technical system owner)
• Assist in the design and implementation of robust ETL processes to ingest and transform data from various sources into process mining platforms.
• Architect scalable data solutions that ensure data accuracy, integrity, and performance.
• Collaborate with IT and business stakeholders to understand data requirements and develop appropriate data models and pipelines.
• Manage defined IT applications and systems.
• Testing and initiating the introduction of technical innovations and improvements (state-of-the-art)
• Mentor junior data engineers and provide technical guidance to the team.

Process Mining Enablement:

• Integrate and configure process mining tools (e.g., Celonis) with enterprise data systems.
• Develop and maintain data models and schemas that support process mining activities.
• Ensure the seamless flow of data into process mining tools, enabling real-time and historical analysis.
• Work closely with data scientists and analysts to understand their needs and provide the necessary data infrastructure.
• Managing projects for improvements or new development.

Data Quality and Governance:

• Carrying out system analyses and initiating necessary measures to ensure the production stability, availability, and security of the application.
• Implement and enforce data quality standards and best practices.
• Conduct data audits and continuously monitor data pipelines to ensure data accuracy and reliability.
• Develop and maintain documentation for data architecture, processes, and workflows.

Collaboration and Communication:

• Steering internal or external IT service providers for programming and hosting (operations)
• Partner with business analysts, process owners, and other stakeholders to identify key metrics and KPIs for process mining.
• Providing support to functional units and key users on all issues related to the managed applications.
• Communicate technical concepts to non-technical stakeholders clearly and effectively.

Education: University degree (Bachelor or Master) in Computer Science, Data Engineering, Information Systems, or a related field.

Experience:

• 3+ years of experience in IT or in data engineering, with a focus on ETL processes and data integration.
• Proven experience as a data scientist, with a track record of successful projects and implementations.
• Strong proficiency in programming languages such as Python, R, or SQL.
• Experience with cloud platform (e.g., AWS, Azure, Google Cloud) and/or big data technologies (e.g., Hadoop, Spark).
• Familiarity with ERP systems (e.g., SAP, Oracle) and their data structures. 

IT skills:
Experience with some IT management tool (JIRA, CAPE, JIRA@BR)

Other requirements:

• Strong communication and moderation skills
• Technology understanding
• Proactive, high reliability, self-organized and solution-oriented working 
  
• Ability to understand end to end business process
• Ability to understand end to end business process
• Corporate attitude and strong service behavior
• Cross-functional collaboration

• Annual bonus
• Fully paid meal vouchers
• Mobile phone also for private use
• Discounts for selected Telekom products
• Supplementary pension saving contribution
• Cafeteria system of benefits/Multisport card
• Sick days
• Sports club & Health days
• Teambuildings, summer & Christmas party
• Opportunities for career growth
• Referral program
• Flexible working time