Senior Data & Cloud Engineer - ConstructionTech (Python, SQL, GCP) m/f/x

ARION SEARCH est un cabinet de recrutement spécialisé en Tech & Executive Search.

Fondé et piloté par un ancien Engineering Manager, nous accompagnons des acteurs du CAC40, du NEXT40, ainsi que de nombreuses scale-ups et licornes en France et en Europe. Nous sommes reconnus pour notre méthodologie d’évaluation 360° TECHNO*, nos shortlists ultra-qualitatives, et notre capacité à sécuriser les recrutements les plus stratégiques.

📍 Location: Biarritz, France

🤝 Contract: Permanent (CDI)

💰 Salary: €55,000 - €80,000 per year (depending on profile) + Bonus

🚀 Start Date: As soon as possible

💼 Remote Policy: Hybrid model with a strong on-site presence

On behalf of our client, a well-funded and ambitious early-stage startup, BAILLY NETWORK is leading the search for an exceptional Senior Data & Cloud Engineer to join their founding team in the unique setting of Biarritz.

Our client is on a mission to revolutionize the construction industry—a massive, yet underserved market—by leveraging cutting-edge AI to solve its most critical challenge: pricing complexity.

Backed by a team of seasoned founders with deep expertise in AI, Growth, and Construction, this is a rare opportunity to build a category-defining company from the ground up.

If you are a brilliant, entrepreneurial engineer looking for a project with massive technical challenges and an unparalleled quality of life, this is for you.

As one of the first key technical hires, you will report directly to the CTO and take full ownership of the data lifecycle, from ingestion to exploitation by advanced AI models. This is a 360° role where you will not just execute tasks, but architect, build, and scale the core of the product.

Your responsibilities will include:

• Architect & Build Data Pipelines: Design and optimize robust pipelines for ingesting, storing, and processing heterogeneous data from unstructured documents (quotes, invoices), photos, and more.
• Deploy & Maintain a Scalable Cloud Architecture: Define and manage the target GCP infrastructure (Vertex AI, BigQuery, Compute Engine) to handle both synchronous and asynchronous use cases.
• Industrialize AI Models: Ensure the production deployment of AI models (Deep Learning, LLMs, Computer Vision, NLP), optimizing for performance and reliability.
• Develop Data-Driven APIs: Build and industrialize APIs that make complex pricing information easily accessible to users and business applications.
• Uphold Top-Notch Security: Maintain the highest security standards across all applications and infrastructure.
• Drive Innovation: Actively monitor new technologies and share knowledge to foster a culture of technical excellence within the team.