Audio Data Engineer: AWS Pipelines & GDPR

JT AI Labs; Paris; Hybrid; EUR 85,000 - 120,000; Full time

Benefits offered by this job

Health insurance

Learning budget

Remote-friendly

Home office equipment support

Job summary

JT AI Labs in Paris is building the data foundations for our audio collection workflow, from raw recordings to client-ready datasets. You will own AWS storage, design processing jobs, and deliver secure, compliant pipelines that ensure traceability and data protection.

Join a startup-like environment within JobTeaser, collaborate with cross-functional teams, and contribute to iterative deliveries while advancing data engineering best practices.

Qualifications

• Master’s degree in CS, data engineering, or related quantitative field.
• 3+ years of production data pipeline experience.
• Proficiency in Python with NumPy and data tooling.
• Hands-on audio/signal data experience (ffmpeg, codecs, sample rates).
• Strong AWS experience (S3, IAM, KMS) and infrastructure as code (Terraform).
• Rigorous data quality, reproducibility and traceability.
• Familiarity with GDPR/PII handling and EU AI Act awareness.
• Professional English; bilingual in French.

Responsibilities

• Design and build data foundations for audio collection, from raw recordings to client datasets.
• Own audio storage design on AWS with encryption, lifecycle, and reconciliation.
• Develop audio processing jobs and QC pipelines; convert scripts to robust pipelines.
• Create dataset delivery pipeline with packaging, metadata, pseudonymised IDs and consent logs.
• Ensure traceability: link files to speakers/projects; manage deletions per consent.
• Ensure GDPR and EU AI Act compliance across storage and processing.
• Analyze datasets to spot quality issues and iterate solutions.
• Collaborate with Head of AI, full-stack engineer, and clients to meet goals.

Skills

Python

Data pipelines

NumPy

English

French

CI/CD

Debugging

Education

Master’s degree

Tools

AWS

Terraform

S3

Job description

JT AI Labs in Paris is building the data foundations for our audio collection workflow, from raw recordings to client-ready datasets. You will own AWS storage, design processing jobs, and deliver secure, compliant pipelines that ensure traceability and data protection.

Join a startup-like environment within JobTeaser, collaborate with cross-functional teams, and contribute to iterative deliveries while advancing data engineering best practices.