Big data engineer serp_jobs.h1.location_city

Collaborate with subject matter experts (SMEs), data scientists, business analysts, and IT teams to ensure alignment on business objectives and technical requirements. Build and customize data models, apps, automations, etc. on the Celonis platform to provide data-driven insights and process optimizations. Design, develop, and implement data pipelines within the Celonis internal and external data sources (e.g., SAP, Salesforce, SuccessFactors) Develop and implement data quality and governance processes to ensure data accuracy and integrity. Integrate Celonis apps with other enterprise tools, ensuring smooth data flow and system interoperability. Optimize and maintain large-scale data processing systems for performance, scalability, and reliability. Provide ongoing support for Celonis applications and data pipelines, solving issues and ensuring high system uptime. Document technical specifications, solutions, and processes for future reference. Leveraging general AI APIs (e.g., OpenAI, Anthropic, Google Vertex AI) to enhance data pipelines, automate processes, and derive insights. Bachelor's degree in computer science, data engineering, or a related subject area. Scrum Master Certification a plus. 5+ years' experience in data engineering, data science, software development, analytics, or similar roles Proven track record of collaborating with executive-level stakeholders and influencing strategic initiatives. Experience working with the Celonis platform or other process mining tools. Track record of completing projects across people, process, and technology in complex, global organizations Strong proficiency in data engineering and software development; Experience with programming languages such as Python, SQL Solid understanding of data modelling, warehousing, and governance practices Familiarity with common enterprise systems (SAP, SFDC, SuccessFactors, Ariba, etc.) Ability to translate business problems into implementable solutions with quantifiable business benefits. In depth experience leveraging Agile / Scrum methodology