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⚙️Data Engineer

FR

Marss · Nice, France
// classified as
Data Engineer (Pipelines, infra, ingestion, ETL.)
posted
1d ago
location
Nice, France
languages
bash, python, sql
tools
docker
> stack
bashpythonsqldockerkeraspytorchtensorflow
> education
bachelorsdoctoratemasters
> description

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.