Lead Engineer (m/f/d) Data Infrastructure

Role Overview

Lead Engineer (m/f/d) — Data Infrastructure at MOTOR Ai in Berlin. You will define and lead the data infrastructure strategy and architecture that supports engineering, ML, and simulation data needs for an autonomous driving platform.

Responsibilities

• Data Infrastructure Strategy & Architecture: Define strategy and architecture for data platforms, storage, and pipelines, ensuring scalability, reliability, and cost-efficiency as data grows.
• Team Leadership: Build, lead, and develop the data infrastructure team; ensure the right skills and capacity for engineering, ML, and simulation.
• Platform Reliability & Scalability: Ensure data platforms and pipelines are robust, monitored, and capable of scaling with increasing data and compute.
• Cross-Functional Enablement: Partner with data engineering, AI, perception, and simulation teams to meet evolving data access and processing needs.
• Data Security & Governance: Establish standards for data security, access control, and versioning to ensure compliance and auditable, trustworthy infrastructure.

Requirements

• Degree in Computer Science / Data Engineering / Information Systems (or comparable) or equivalent vocational training/apprenticeship in a relevant technical discipline (hands-on experience is valued highly).
• 10+ years hands-on experience in data infrastructure / data platform engineering, including building infrastructure from the ground up.
• Proven track record designing and operating data platforms for very large data volumes, including infrastructure budgeting and cost optimization.
• Experience leading and developing a team with prior organizational/people-management responsibility.
• Senior data-engineer-level technical skills: cloud data infrastructure, storage systems, and data pipelines.
• Strong communication skills; ability to align stakeholders across technical and non-technical teams.
• English C1 required; German is a plus.

Nice-to-Haves / Additional Notes

• Face-to-face collaboration is emphasized; the company is not fully remote.
• Benefits include flexible working hours, corporate benefits/discounts, public transport ticket subsidy, support for further education, and a diverse team culture.