Data Platform Engineer

We’re looking for a Data Platform Engineer to own the end-to-end platform managing a large and growing collection of video data used for Machine Learning.

You’ll replace ad-hoc file sharing and manual processes with a governed, automated and reproducible data platform covering ingestion, storage, metadata, dataset versioning, GDPR/consent management, processing pipelines and reporting.

What You’ll Do

• Build automated video ingestion and processing pipelines, including validation, metadata extraction and deduplication
• Design robust relational data models and metadata catalogues
• Implement GDPR and consent management, audit trails, retention and automated notifications
• Establish dataset versioning and reproducibility across ML experiments
• Build APIs and interfaces for data input, browsing and management
• Develop dashboards covering data quality, dataset usage, compliance and operational metrics
• Ensure traceability aligns with ASPICE and integrate with Codebeamer
• Deploy and operate the platform securely, including appropriate isolation of sensitive data
• Occasionally support data collection and in-car testing

• Strong Data Engineering and data pipeline experience
• Excellent relational database design and modelling skills
• Strong Python for automation, pipelines and API development
• Experience handling large media/binary datasets and object storage
• Experience building data dashboards and reporting
• Practical understanding of GDPR, PII, consent and data retention
• Understanding of ML dataset lifecycles and visual-data workflows
• Excellent communication and collaboration skills