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Direct message the job poster from RealAdvisor RealAdvisor is an innovative real estate platform attracting millions of users every year. Since our founding in 2017, our mission has been to make the property market more transparent and efficient. Our integrated platform connects buyers, sellers, and agents seamlessly. With 100% year‑on‑year growth and operations in four countries (Switzerland, France, Spain & Italy), we are scaling fast. Join us to help agents grow their business more efficiently and to make the real estate market more transparent. The Role We are looking for a Machine Learning Engineer to take ownership of our geospatial data products. In this role, you won’t just train models or query data; you will architect the entire lifecycle of the data. From orchestrating complex pipelines on Kubernetes to rendering high‑performance visualizations on Mapbox, you will build the engine that powers our real estate insights. This is a heavy "Builder" role. We need someone who is as comfortable debugging an Airflow DAG as they are calculating spatial statistics. The Stack You will have full autonomy over a modern, high‑performance stack: Data Storage: Postgres (PostGIS) for spatial transactions, ClickHouse for massive‑scale analytics. Code: Python (Production‑grade). Key Responsibilities End‑to‑End Pipelines: Design and deploy automated pipelines (ETL) using Airflow to ingest diverse datasets (Real Estate transactions, listings, geo‑data). Geospatial Analytics: Compute advanced spatial metrics (e.g., pricing honeycombs, average prices per neighborhood) using PostGIS and Python . Infrastructure Management: Maintain and optimize the Kubernetes environment where your pipelines and models run. Visualization Engineering: Transform your analytical outputs into interactive map layers (Vector Tiles) that integrate seamlessly with Mapbox on our frontend. Who You Are You are "Full Stack": You reject the idea that Data Scientists shouldn't touch infrastructure. You know that to deliver value, you need to own the deployment. You love Maps: You have an intuition for spatial data—you understand projections, polygons, and how to visualize density effectively. You write clean code: You don't just write scripts; you write maintainable, modular Python code that can run reliably in production. Requirements Experience: 3+ years in a Data Science or Data Engineering role with a focus on production systems. Engineering Chops: proficiency with Docker and Kubernetes is essential. You must be able to troubleshoot your own deployment environments. Database Fluency: Expert-level SQL , specifically with PostGIS or similar spatial extensions. Experience with ClickHouse is a strong plus. Tooling: Deep experience with Airflow for orchestration. Ready to build something that truly scales? Join us and shape the future of RealAdvisor’s growth story. Seniority level Associate Employment type Full‑time Job function Project Management Industries: Technology, Information and Internet Madrid, Community of Madrid, Spain – 3 months ago Referrals increase your chances of interviewing at RealAdvisor by 2x #J-18808-Ljbffr
