Data Engineer – Audio Datasets - JT AI Labs (M/F/D)

📋 Description

• Own audio storage on AWS: bucket design, encryption, versioning, lifecycle and retention rules, and
• Build audio processing jobs: track alignment between speakers, resampling to client specifications
• Design and run the dataset delivery pipeline: packaging to client spec, file naming, metadata
• Guarantee traceability: every file can be traced to its speaker, project and consent, and consent
• Make sure all storage and processing complies with GDPR and EU AI Act data requirements.
• Analyse datasets, spot quality problems early, propose solutions and iterate quickly.

🎯 Requirements

• Master’s degree (or equivalent) in Computer Science, Data Engineering, Applied Mathematics or
• 3+ years of experience building and running data pipelines in production.
• Proficient in Python and comfortable with NumPy and data tooling.
• Hands-on experience processing audio or signal data: ffmpeg, formats and codecs, sample rates
• Strong experience with AWS (S3, IAM, KMS, lifecycle policies) and infrastructure as code (Terraform
• Rigorous about data quality, reproducibility and traceability: checksums, manifests, versioning

🎁 Benefits

• Join a mission-driven company with a concrete impact on the new generation.
• Share core virtues: #OneTeam, #Ownership, #Innovation.
• Dynamic internal life: all-hands, parties, team drinks, team-buildings.
• Strong training policy with annual individual budget for learning.
• Flexible work environment: remote-friendly, one month per year from anywhere in Europe, home office
• Family Care Policy: 4 additional paid days off after parental leave, 3 paid child-sick days per