Data Engineer (m/f/d)

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

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.)
• 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.

We ask recruitment consultancies and agencies not to submit candidate profiles without our prior express request. Any candidate profiles submitted without a prior written placement agreement signed by both parties shall be deemed to have been submitted unsolicited. No entitlement to placement fees or other charges shall arise from their use or from the subsequent recruitment of the candidate.

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