Real-Time Data Engineer for Defense AI Pipelines

Altaares; Paris; Sur place; EUR 50 000 - 70 000; Plein temps

Résumé du poste

Altaares, a deeptech startup in Paris, is looking for a Data Engineer to design and maintain data pipelines across various sources. The ideal candidate will have experience in Data Engineering and be proficient in Python and SQL, specifically with PostgreSQL.

This role involves deploying data pipelines on GCP, collaborating closely with ML teams, and ensuring data governance and security aligned with defense constraints. Join a fast-growing team working on cutting-edge AI technologies.

Qualifications

• 2–3 years of experience in Data Engineering.
• Strong proficiency in Python for data processing.
• Solid SQL skills for data modeling and query optimization.
• Experience with PostgreSQL in production environments.
• Hands-on experience with a workflow orchestrator (Prefect, Airflow, or Dagster).
• Experience deploying and operating pipelines on GCP.
• Ability to design robust, maintainable, and scalable data pipelines.
• Experience with monitoring, debugging, and optimizing data workflows.

Responsabilités

• Design and maintain batch and near real-time data pipelines.
• Orchestrate workflows ensuring reliability and observability.
• Deploy data pipelines on GCP and manage data flows.
• Design and implement PostgreSQL schemas for analytics and ML.
• Prepare datasets for ML training pipelines with reproducibility.
• Implement security measures and manage data permissions.

Connaissances

Python for data processing

Data Engineering (2-3 years)

SQL skills

PostgreSQL experience

Workflow orchestrator (Prefect, Airflow)

Cloud deployment (GCP)

Data pipeline design

Monitoring and debugging workflows

Description du poste

Altaares, a deeptech startup in Paris, is looking for a Data Engineer to design and maintain data pipelines across various sources. The ideal candidate will have experience in Data Engineering and be proficient in Python and SQL, specifically with PostgreSQL.

This role involves deploying data pipelines on GCP, collaborating closely with ML teams, and ensuring data governance and security aligned with defense constraints. Join a fast-growing team working on cutting-edge AI technologies.