Role details
Job description
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.
2–3 years of experience in Data Engineering
Strong proficiency in Python for data processing
Solid SQL skills (data modeling, query optimizatio
Experience with PostgreSQL in production environments
Hands-on experience with a workflow orchestrator (Prefect, Airflow, or Dagster)
Experience deploying and operating pipelines on GCP or another cloud provider
Ability to design robust, maintainable, and scalable data pipelines
Experience with monitoring, debugging, and optimizing data workflows
Nice to Have
Experience working with image or video data pipelines
Familiarity with MLOps concepts and tooling
Experience in constrained environments (edge computing, offline systems)
Sensitivity to security, data governance, and defense-related constraints
Role context
This Data Engineer H/F role at Alta Ares sits in the engineering track within defense and autonomy. The position is tied to Paris and is posted within the last day, which signals active hiring intent rather than archived demand. Compensation is not disclosed in the source listing, so candidates should verify range details directly with the employer. Combined with the live company and role links on this page, this listing gives candidates a direct path to compare equivalent openings by employer, market, and role focus.
Ready for the next step?
Apply directly with Alta Ares
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