Data Engineer H/F

Altaares

Paris

Sur place

EUR 50 000 - 70 000

Plein temps

14 jours+

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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

About Alta Ares

Alta Ares is a deeptech startup founded in 2024, building real-time AI for defense operations — ISR, C-UAS, and autonomous systems. Our clients are NATO-aligned militaries and defence institutions, with regular deployments during live exercises and operational demonstrations. We raised €2M seed in May 2025, 50M in June 2026, and are expanding fast.

Our product suite includes:

Real-time AI ISR module deployable on drones and tactical platforms
Counter-UAS solution enabling autonomous drone takeover in GNSS-denied environments
Full-stack MLOps platform for training & deploying military-grade AI models
Data fusion and trajectory prediction

Role & Mission

Data Pipelines & Orchestration
Design and maintain batch and near real-time data pipelines across multiple sources (APIs, files, sensors, partners). Orchestrate workflows using Prefect (or similar tools) and ensure reliability, scalability, and observability of data workflows.

Data Infrastructure (GCP)
Deploy and operate data pipelines on GCP (Compute Engine, Cloud Run, Cloud SQL, GCS). Manage data flows between object storage and relational databases, while optimizing performance, cost, and monitoring of production workloads.

Data Modeling & Storage
Design and implement PostgreSQL schemas adapted to analytical and ML use cases. Define dataset versioning strategies and ensure data quality, consistency, and traceability across systems.

ML Collaboration & MLOps Integration
Prepare and expose datasets for ML training pipelines. Guarantee reproducibility of datasets and integrate data pipelines into broader ML workflows and MLOps systems.

Security & Governance
Implement access control mechanisms and manage data permissions. Handle data classification and enforce security standards aligned with defense constraints.

Requirements

Candidate profile
You are a pragmatic Data Engineer with a strong focus on building reliable data systems in production. You are comfortable working with complex, high-volume datasets (including images, videos, and logs) and collaborating closely with ML teams in fast-paced environments.