Data Engineer (m/f/d)

MOTOR Ai GmbH; Berlin; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Public transport subsidy

Corporate Benefits discounts

Excellent transport links

Zusammenfassung

MOTOR Ai GmbH is hiring a Data Engineer to drive data pipeline development and AI data workflows in Berlin. You will design, implement, and monitor data pipelines supporting Level 4 autonomous systems, collaborating with AI Engineers and Data Infrastructure across the hybrid cloud environment.

Applicants should have 6+ years in data engineering, strong Python/SQL skills, and experience with TensorFlow or PyTorch at scale. Fluent English is required; German is a plus.

Qualifikationen

• Completed degree in computer science, data engineering, data science, or related field; hands-on experience counts
• 6+ years as a Data Engineer
• Experience designing data warehouses, data lakes, and information systems; on-call/production support
• Strong Python and SQL skills with solid database knowledge
• Hands-on experience with TensorFlow and/or PyTorch at scale and training neural networks
• Experience with large data volumes and hybrid cloud/on-prem infrastructure, small team
• Data annotation experience and collaboration with external providers
• Ownership mindset with pragmatic problem-solving and strong communication for cross-team collaboration
• Fluent English required; German a plus
• Focus on social relevance and discounts via Corporate Benefits

Aufgaben

• Data Pipeline Development – design, build, and maintain data pipelines for AI/ML use cases
• ML Data Integration – ensure training and inference data is structured and accessible
• Data Quality & Monitoring – implement checks for quality, consistency, freshness
• Tooling & Automation – build internal tooling to automate recurring data tasks
• Cross-Team Collaboration – work with AI Engineers, Perception, Data Infrastructure

Kenntnisse

Python

SQL

TensorFlow/PyTorch

Data pipelines

Data quality monitoring

On-call/production support

Team collaboration

English fluency

Ausbildung

Degree in CS / Data Engineering / related field

Tools

SQL databases

Cloud platforms

TensorFlow/PyTorch tooling

Jobbeschreibung

Driving the transition to autonomous mobility: Our mission is to spearhead the deployment of Level 4 autonomous systems in Germany and beyond. By combining cutting-edge AI with the expertise of our multidisciplinary team, we are set to introduce the first certifiable solution of its kind to European roads. Since 2017, we have remained dedicated to one goal: shaping a future that is already in motion.

Tasks

• Data Pipeline Development - Design, build, and maintain data pipelines that prepare, transform, and deliver data for AI and machine learning use cases
• ML Data Integration - Ensure training and inference data is correctly structured, versioned, and accessible for AI Engineers and Data Scientists
• Data Quality & Monitoring - Implement monitoring and validation checks to ensure the quality, consistency, and freshness of data feeding our AI systems
• Tooling & Automation - Build and improve internal tooling to automate recurring data preparation and pipeline tasks, increasing team efficiency
• Cross-Team Collaboration - Work closely with AI Engineers, Perception, and Data Infrastructure to align on data formats, access patterns, and pipeline requirements

Requirements

• A completed degree in computer science, data engineering, data science, 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
• 6+ years of experience as a Data Engineer
• Experience designing and implementing data warehouses, data lakes, and information systems, and keeping live/production systems running - including participating in on-call and standby duty
• Strong Python and SQL skills, with solid general database knowledge
• Hands-on experience with TensorFlow and/or PyTorch, including at larger scale/setups, and experience training neural networks
• Experience working with large data volumes and hybrid (cloud/on-prem) infrastructure setups, ideally in a small team with a broad scope of responsibility
• Experience with data annotation and collaborating with external service providers
• A strong ownership mindset and a pragmatic, hands-on approach to problem-solving, combined with good communication skills for close collaboration with AI Engineers, Perception, and Data Infrastructure
• Fluent English is required; German is a plus
• 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.)
• Whether it's fashion, beauty, travel or culture – you'll receive numerous discounts through our partner Corporate Benefits
• Social relevance: We work on solutions that have game-changing qualities
• Subsidy for public transport tickets
• Your professional development is important to us – that's why 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

Autonomous mobility isn't a distant horizon. For us, it's Tuesday. If that's the kind of work that gets you out of bed - you belong here.

We particularly welcome applications from women and explicitly encourage them to apply for this position.

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.