Lead Engineer (m/f/d) Data Infrastructure

Meyandy LLC; Berlin; Hybrid; EUR 110.000 - 170.000; Vollzeit

Benefits dieser Stelle

Corporate Benefits discounts

Public transport subsidy

Professional development

Excellent transport links

Zusammenfassung

MOTOR Ai in Berlin is seeking a Senior Data Infrastructure Engineer to shape the data platform strategy and architecture, enabling scalable pipelines and storage for engineering, ML, and simulation data.

You will lead the data infrastructure team, drive cost optimization, and ensure robust, auditable infrastructure with strong security controls in a collaborative, non-remote setup.

Qualifikationen

• 10+ years hands-on experience in data infrastructure or data platform engineering.
• Experience building infrastructure for very large data volumes.
• Experience leading and developing a team.
• English C1; German is a plus.
• Degree or equivalent vocational training in a technical discipline.

Aufgaben

• Define the strategy and architecture for data platforms, storage, and pipelines, ensuring scalability, reliability, and cost-efficiency as our data volume grows.
• Build, lead, and develop the data infrastructure team to support engineering, ML, and simulation data needs.
• Ensure data platforms and pipelines are robust, monitored, and scalable with growing data and compute requirements.
• Partner with data engineering, AI, perception, and simulation teams to meet evolving data access needs.
• Establish standards for data security, access control, and versioning, ensuring auditable and trustworthy infrastructure.

Kenntnisse

Data engineering

Cloud infrastructure

Data pipelines

Budgeting

Leadership

Ausbildung

Degree in CS/IT

Tools

AWS

GCP

Azure

Jobbeschreibung

About the Role

Most technologies promise the future. We're already building it. At MOTOR Ai, we've spent years doing what others said couldn't be done in Germany: developing Europe's first certifiable Level4 autonomous driving system — one that doesn't just detect the world around it, but understands it. Rooted in cognitive neuroscience and driven by a team that bridges disciplines, we're not waiting for autonomous mobility to arrive. We're the reason it will.

Responsibilities

• Define the strategy and architecture for data platforms, storage, and pipelines, ensuring scalability, reliability, and cost-efficiency as our data volume and usage grow.
• Build, lead, and develop the data infrastructure team, ensuring the right skills and capacity to support engineering, ML, and simulation data needs.
• Ensure data platforms and pipelines are robust, monitored, and able to scale with our growing data and compute requirements.
• Partner with data engineering, AI, perception, and simulation teams to ensure infrastructure meets their evolving data access and processing needs.
• Establish standards for data security, access control, and versioning, ensuring our data infrastructure is compliant, auditable, and trustworthy.

Requirements

• 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.
• EnglishC1 is required; German is a plus.

Benefits

• Genuine team spirit: working in teams that drive change forward — no matter how complex and extensive the projects are.
• Flexible working hours — with room for the realities of life (parenthood, caregiving responsibilities, voluntary work, etc.).
• Discounts through our partner Corporate Benefits (fashion, beauty, travel or culture).
• Subsidy for public transport tickets.
• Professional development: we cover the costs of further education and training.
• Excellent transport links: attractive location in Wedding with very good public transport connections.
• Focus on people: Our strength lies in our diversity. We respect each other for who we are.

Location

Berlin

About the Team

The road ahead is being built right now. If you want a hand in shaping it — we'd like to hear from you. At our new premises, we place great importance on getting to know one another and working together to drive our vision forward. Our international team is growing and working together on this exciting mission. Face‑to‑face collaboration is the key to success, which is why we have decided not to become a fully remote company.