Senior Data Engineer optimizing and industrializing data pipelines for AI products, ensuring data quality and performance across the lifecycle. Collaboration with cross-functional teams is crucial for this role.
Responsibilities
Design, develop, and maintain robust, automated, and scalable data pipelines.
Ensure data quality, security, and reliability throughout the entire data lifecycle.
Define and maintain infrastructure-as-code for data-related services.
Build and maintain dashboards, monitoring tools, and reports for internal teams.
Work closely with Data Science, DevOps, and Product teams to ensure data consistency and value.
Monitor and optimize performance using observability tools (Datadog, Grafana, Prometheus).
Requirements
Master’s degree (or equivalent) in Computer Science, Data Engineering, or AI.
5+ years of experience in Data Engineering, ideally in cloud and AI-driven environments.
Excellent command of Python and software engineering best practices (testing, versioning, packaging).
Strong knowledge of SQL and NoSQL databases (PostgreSQL, DynamoDB).
Solid experience with workflow automation (Airflow, GitHub Actions, GitLab CI/CD).
Strong understanding of MLOps concepts, integration of data into ML workflows, monitoring, and deployment.
Cloud experience with AWS or GCP (S3, Lambda, RDS, Step Functions).
Familiarity with Docker and containerized environments.
Benefits
🏡 Hybrid work
🏝 Executive-style employment contract ("Contrat cadre") and RTT days (between 8–12 per year depending on the number of public holidays in the year)
💻 Choice of Mac or PC depending on your preference
💸 BSPCE (employee stock warrants)
🍜 60% coverage of meal vouchers valued at €9 per working day
🚃/🚲 Sustainable mobility allowance
🏥 Private health insurance (Alan)
💼 Offices located in central Paris (9th arrondissement)
☀️ Annual offsite with the entire team and frequent company events
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