Senior Data Engineer Role
As a pivotal member of our organization, we seek an experienced Senior Data Engineer to contribute to the development of innovative data solutions. This is an exciting opportunity for an individual with expertise in data engineering, software development, and analytics to drive step-change improvements in critical enterprise processes.
The ideal candidate will have extensive experience working with SuccessFactors, ICIMS, and Celonis platforms, including data engineering, analytics, process mining, app development, and automation. They will be responsible for implementing data-driven insights, process optimizations, and automations on these platforms, collaborating closely with stakeholders across multiple functions.
We are looking for a skilled professional who can translate business problems into implementable solutions, leveraging their analytical and problem-solving skills to deliver results ahead of schedule. Strong communication and interpersonal skills are essential, as they will work closely with cross-functional teams and influence changes within a global organization.
* Develop and implement data models, apps, and automations on Celonis to provide data-driven insights and process optimizations
* Collaborate with data scientists, business process analysts, and SMEs to ensure alignment on business objectives and technical requirements
* Build automated workflows to integrate with other enterprise systems and applications
* Optimize and maintain large-scale data processing systems for performance, scalability, and reliability
In this role, you will have the opportunity to work on a wide range of projects, from conceptual design to implementation, and contribute to the growth and development of our Data Engineering team. If you are a motivated, results-driven professional with a passion for data engineering and innovation, we encourage you to apply for this exciting opportunity.
Key Responsibilities:
Data Model Development: Design and develop robust data models to support business intelligence and analytics initiatives.
App and Automation Development: Develop scalable apps and automations on Celonis to drive process improvements and efficiency gains.
Process Optimization: Collaborate with stakeholders to identify areas for process improvement and develop data-driven solutions to address these gaps.
Technical Collaboration: Work closely with data scientists, business process analysts, and SMEs to ensure alignment on business objectives and technical requirements.
System Integration: Build automated workflows to integrate with other enterprise systems and applications.
System Maintenance: Optimize and maintain large-scale data processing systems for performance, scalability, and reliability.