Senior Data Engineer

Posted 3 Days Ago
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Paris, Île-de-France, FRA
Hybrid
Senior level
Information Technology • Software
The Role
Design, build, and maintain production ELT pipelines for high-volume streaming spatial and telemetry data. Architect Databricks/AWS schemas for ultra-low latency and zero-data-loss. Develop and optimize a central semantic layer using Cube.js for reliable data consumption. Ensure LLM-agent friendly semantic modeling, automation of pipeline unit tests, and package integration blueprints for Professional Services.
Summary Generated by Built In

Outsight’s software solutions track the motion of people and vehicles using 3D LiDAR data.

Operators of transportation hubs like airports and train stations but also sport venues, road infrastructures and industrial sites can now access accurate and anonymous Spatial Intelligence data, in order to improve operations and increase user safety and satisfaction.

 

Our international team of scientists and engineers drive the development of our solutions from Paris, San Francisco, Sophia-Antipolis (Nice) & Hong Kong. To support our global outreach, we also operate a commercial office in Spain.

 

You can find below an interesting link about who we are and what we do :

Insights about Outsight

 

Our Passenger Flow Traffic Monitoring solution is trusted by the world’s leading airports and train stations across four continents, including the most renowned hubs celebrated for their operational excellence and exceptional passenger experience.  We also deploy our solutions in other markets such as Tourism, Retail and Sports.

 

Additionally, our Car Traffic Remote Monitoring product is trusted by several Tier 1 customers, including BMW.

 

Context

 

We are seeking a senior systems thinker to anchor the data lifecycle of Outsight's spatial events. This individual will own the structural flow of high-volume event data processing from our internal Perception stack and 3rd-party datasets, translating them into well-modeled, hyper-performant warehouse layers and clean semantic models.

 

Responsibilities

 

  • Design, construct, and maintain production-grade ELT pipelines processing streaming spatial data and telemetry.

  • Architect and manage schemas within Databricks and AWS environments, prioritizing zero-data-loss and ultra-low latency.

  • Build out and optimize the central semantic abstraction layer using Cube.js, ensuring clean data consumption contracts.

  • Collaborate with Erwan Cabon and Anatolii Kostrygin to package reliable data pipeline integration blueprints for the Professional Services delivery squads.

Requirements for the role

Agentic Workflow & Productivity Edge: You must possess deep familiarity with structuring semantic layers specifically to be accurately browsed and mapped by LLM-driven agents. The ideal candidate actively utilizes advanced AI coding frameworks to multi-thread feature delivery and automate pipeline unit testing, achieving an outsized development cadence.

 

Why join us?

 

Be part of the team pioneering Spatial Intelligence solutions at unprecedented scale—the breakthrough technology transforming how the world’s most prestigious airports, infrastructure operators, and smart cities understand and optimize physical flows.

 

As a 7-time Gartner-recognized category-defining leader with dozens of global awards including “Edge AI Product of the Year,” “LiDAR Leader Award,” “CES Best of Innovation” and many more, we’re backed by 37 patents and deployments with the most prestigious (and challenging) customers across four continents.

 

Join our international team of world-class experienced engineers and business leaders solving humanity’s most complex spatial challenges, from passenger flow optimization to autonomous robotics coordination, while working at the cutting edge of 3D AI, LiDAR perception, and real-time analytics.

 

Supported by rock-solid investors including BNP Paribas, BPI France, Energy Innovation Capital and Demeter who back our long-term vision, this is your opportunity to shape how physical and digital worlds interact, with the resources, growth trajectory, and technical challenges that will accelerate your career in ways traditional companies cannot offer.

 

Outsight is an Equal Employment Opportunity employer that pursues and hires a diverse workforce. Outsighters don't make employment decisions on the basis of race, color, religion, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military status, or any other basis protected by local, state, or federal laws. Outsight also strives for a healthy and safe workplace, and prohibits harassment of any kind. If you have a disability or special need that requires accommodation, please let us know.

 

Skills Required

  • Design, construct, and maintain production-grade ELT pipelines processing streaming spatial data and telemetry
  • Architect and manage schemas within Databricks and AWS environments
  • Build out and optimize a central semantic abstraction layer using Cube.js
  • Deep familiarity with structuring semantic layers to be browsed and mapped by LLM-driven agents
  • Experience with 3D LiDAR or spatial events and Perception stack data
  • Use of advanced AI coding frameworks to automate pipeline unit testing and accelerate feature delivery
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The Company
92 Employees
Year Founded: 2019

What We Do

Outsight’s software solutions track the motion of people and vehicles using 3D LiDAR data. Operators of transportation hubs like airports and train stations but also sport venues, road infrastructures and industrial sites can now access accurate and anonymous Spatial Intelligence data, in order to improve operations and increase user safety and satisfaction. Our international team of scientists and engineers drive the development of our solutions from Paris, San Francisco, and Sophia-Antipolis (Nice). To support our global outreach, we also operate commercial offices in the UK, Belgium, Spain, Hong Kong, and Singapore. We believe that accelerating the adoption of LiDAR technology through robust and scalable software solutions will significantly contribute to making the world smarter, safer and more sustainable

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