FR - Data Engineer

Posted 2 Days Ago
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Nice, Alpes-Maritimes, Provence-Alpes-Côte d'Azur, FRA
Hybrid
Mid level
Artificial Intelligence • Internet of Things • Security • Defense
The Role
Lead data engineering for ML-driven NiDAR: ensure complete recordings, build/manage multi-site data collection pipelines and databases, handle annotations and metadata extraction, ensure regulatory compliance, and prepare datasets for models (classification, tracking, sensor fusion).
Summary Generated by Built In

Job Title: Data Engineer

Reports to: VP AI

Location: France - Nice

Type: Full-time

The Position

MARSS is actively investing in Machine Learning to advance our NiDAR software across several exciting domains:

  • Video Classification, Detection & Tracking
  • Pattern Recognition / Anomaly Detection
  • Radar Tracking
  • Radio Frequency Analysis

Our current focus is primarily in video, with rapid expansion planned across the other fields. As our team grows, we are looking for a talented Data Engineer to join us.

Responsibilities 

The Data Engineer will lead all data engineering tasks, including:

  • Ensuring all recordings exist for each component, that recorded data is complete, and that recorders are functioning correctly across all deployments
  • Designing and implementing data collection pipelines in an easily accessible, structured manner (including database management for relevant data types)
  • Managing data distributed across multiple sites
  • Staying informed of data recording regulations by country and implementing appropriate measures
  • Managing annotations through tooling, data cross-referencing, or coordinating annotation campaigns
  • Extracting meaningful metadata from datasets (event periodicity, site health warnings, usage statistics, etc.)
  • Supporting the preparation of data for advanced ML models covering prediction, classification, tracking, sensor fusion, and more

Requirements

  • Strong proficiency in Python, Bash, Docker, and Docker Compose for building and maintaining recording systems
  • Strong SQL skills for designing and managing structured data storage and building robust data pipelines
  • Highly organised, with proven experience handling large-scale datasets
  • Comfortable working in Linux environments (macOS experience also welcome)
  • Experience with ML frameworks such as TensorFlow, Keras, or PyTorch is a plus

Education

We prefer at least bachelors degree level in a science or engineering discipline. Masters or doctorate advantageous

The Work Environment

  • Pragmatic tooling: We develop primarily on Macs and Linux.
  • Small, agile team: We embrace modern development practices, new ideas are always welcome, and we adopt what works best for us.
  • Diverse & multicultural: A well-rounded mix of experienced engineers, sales and project managers, and talented recent graduates.
  • Passionate: We genuinely love what we do.

Integration and interfacing

Our core focus is safety and security. We bring cutting-edge software to real-world hardware, no cloud abstractions here. We interface with a wide range of equipment: radar, sonar, thermal imaging, software-defined radios, and more. Our UI runs across touchscreens, tablets, phones, smart glasses, and beyond.

Challenges

This is not a routine role. We operate in mission-critical environments in high-security locations, often with limited connectivity. Your assumptions about cloud-native workflows will be regularly tested. Deadlines are real, and creative problem-solving is essential. If you thrive under those conditions, it can be an extraordinarily rewarding experience.


Skills Required

  • Strong proficiency in Python
  • Strong proficiency in Bash
  • Experience with Docker and Docker Compose
  • Strong SQL skills for designing and managing structured data storage and pipelines
  • Experience handling large-scale datasets and distributed data across multiple sites
  • Comfortable working in Linux environments (macOS experience welcome)
  • Experience with ML frameworks such as TensorFlow, Keras, or PyTorch
  • Bachelor's degree in a science or engineering discipline (Masters/PhD advantageous)
  • Experience designing and implementing data collection pipelines and database management
  • Knowledge of data recording regulations and annotation management
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The Company
120 Employees
Year Founded: 2005

What We Do

MARSS Group is a global defence and security technology company specializing in AI-enabled Command and Control (C2/C4I), autonomous mission management, and multi-domain surveillance. Through its AI-powered NiDAR platform, MARSS develops intelligent turnkey solutions to protect lives, assets, and critical infrastructure. The company provides real-time situational awareness and advanced counter-drone capabilities across air, land, sea, and subsurface domains to help nations and agencies outperform modern threats.

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