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

Description: Design and build data foundations for audio collection activities, from raw recordings to client datasets. Manage audio storage on AWS, including bucket design, encryption, and lifecycle rules. Develop audio processing jobs and quality control pipelines. Ensure dataset delivery pipeline meets client specifications and complies with GDPR and EU AI Act. Analyze datasets for quality issues and collaborate with cross-functional teams. Requirements: Master’s degree in Computer Science, Data Engineering, Applied Mathematics, or related field. 3+ years of experience in building and running data pipelines in production. Proficient in Python, with experience in audio processing and AWS services. Familiar with data protection requirements and strong focus on data quality and traceability. Professional proficiency in English; bilingual in French is a plus. Benefits: Join a mission-driven company with a focus on impact and innovation. Flexible work environment with remote options and home office support. Comprehensive training policy with an annual budget for learning opportunities. Family Care Policy and mental health support through Moka Care. Additional perks include RTT, health insurance, lunch vouchers, and a modern office environment.