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# Lead Engineer Data Infrastructure gesucht in Berlin

- **Company:** Motor Gmbh
- **Location:** Berlin, Germany (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Big Data, Cloud Database, Information Systems, Information Engineering, Data Infrastructure, Data Security, Machine Learning, Management of Software Versions, System Availability, Information Technology, Data Management, Data Pipelines
- **Published:** August 26, 2026
- **Apply:** https://www.lokale-kleinanzeigen.de/stellenanzeige/lead+engineer+m+f+d+data+infrastructure_l16618319.html

## About the Role

* A completed degree in computer science, data engineering, information systems, or a comparable field - or equivalent vocational training/apprenticeship in a relevant technical discipline. Hands-on experience counts at least as much as the formal qualification
 * 10+ years of hands-on experience in data infrastructure or data platform engineering, including experience building infrastructure from the ground up
 * A proven track record designing and operating data platforms for very large data volumes, together with a solid understanding of infrastructure budgeting and cost optimization
 * Experience leading and developing a team, including prior organizational or people-management responsibility
 * A technical skill set comparable to a senior data engineer - solid, hands-on experience with cloud data infrastructure, storage systems, and data pipelines
 * Strong communication skills, with the ability to align stakeholders across technical and non-technical teams
 * English C1 is required; German is a plus

## Description

* Data Infrastructure Strategy & Architecture - Define the strategy and architecture for data platforms, storage, and pipelines, ensuring scalability, reliability, and cost-efficiency as our data volume and usage grow
 * Team Leadership - Build, lead, and develop the data infrastructure team, ensuring the right skills and capacity to support engineering, ML, and simulation data needs
 * Platform Reliability & Scalability - Ensure data platforms and pipelines are robust, monitored, and able to scale with our growing data and compute requirements
 * Cross-Functional Enablement - Partner with data engineering, AI, perception, and simulation teams to ensure infrastructure meets their evolving data access and processing needs
 * Data Security & Governance - Establish standards for data security, access control, and versioning, ensuring our data infrastructure is compliant, auditable, and trustworthy


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