Data Engineer – Process Mining

Company Description

Founded in Munich, Germany in 1989, Brainlab develops, manufactures and markets software-driven medical technology, enabling access to improved, more efficient, less-invasive patient treatments. Our key to success is our creative, talented and hard-working team, which consists of around 2400 dedicated and inspiring individuals in 25 locations worldwide. To succeed in reaching our targets, we are seeking committed colleagues who can stand behind our core values curious, authentic and useful.

Job Description

At the forefront of innovation and excellence, we are dedicated to driving digital transformation within the health tech sector. Our commitment to process excellence underpins our company-wide improvement initiatives, on behalf of our top management. To support these ambitious goals, we are seeking a motivated Data Engineer specializing in process mining, with a particular focus on advancing the technical implementation of Celonis. 

Tasks and Responsibilities 

• Design, develop, and maintain data pipelines to support and advance the Celonis Process Mining implementation of Brainlab
• Collaborate with cross-functional teams to gather and analyze business requirements
• Integrate various data sources into the Celonis platform, ensuring data accuracy and consistency
• Develop and optimize process mining models and dashboards
• Monitor and troubleshoot data pipelines to ensure smooth operation and data integrity
• Provide technical expertise and support to stakeholders on Celonis Process Mining capabilities
• Stay up-to-date with industry trends and best practices in data engineering and process mining

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field
• Proven experience as a Data Engineer, with a focus on process optimization and data integration
• Strong proficiency in SQL and experience with database management systems
• Familiarity with Celonis Process Mining or similar process mining tools
• Experience with programming languages such as Python or Java
• Knowledge of data warehousing concepts and technologies
• Excellent problem-solving skills and attention to detail
• Strong collaboration and communication skills in German and English to present complex matters in a simple manner 
• Well-structured work approach and analytical and conceptual thinking 
• Proactivity, flexibility, and resilience, coupled with a confident and professional demeanor 
• Courage and willingness to challenge the status quo and address and implement comprehensive future-proof solutions 

Additional Information

• A mutually-supportive, international team
• Meaningful work with a lasting impact on medical technology
• 30 vacation days, plus December 24th and December 31st
• Flexible working hours as well as hybrid work model within Germany
• Bike leasing via cooperation partner "BikeLeasing"
• Parking garage and safe underground bike storage
• Award-winning subsidized company restaurant and in-house cafes
• Variety-rich fitness program in our ultra-modern 360m2 company gym
• Regular after work, team, and company events
• Comprehensive training and continuing education opportunities

Ready to apply? We look forward to receiving your online application including your first available start date and desired salary. 

Contact person: Leonie von Leoprechting