Geospatial ML Engineer — Remote, End-to-End Pipelines

RealAdvisor; Spagna; Remoto; EUR 65.000 - 90.000; Tempo pieno

Vantaggi offerti da questo lavoro

Fully remote role with flexible hours

International, ambitious team culture

Collaborative leadership and go-to- GT

Descrizione del lavoro

RealAdvisor is seeking a Machine Learning Engineer to own geospatial data products and end-to-end data pipelines. You will orchestrate workflows on Kubernetes, build high-performance geospatial visualizations with Mapbox, and ensure production-grade Python code powers real estate insights.

This fully remote role offers ownership, autonomy, and collaboration with an international team across Europe, focusing on scalable data platforms and fast-moving market insights.

Competenze

• End-to-end data pipelines with ETL and Airflow.
• Geospatial analytics using PostGIS and Python.
• Infrastructure management in Kubernetes environments.
• Production-grade Python development for data products.

Mansioni

• 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 using PostGIS and Python.
• Infrastructure Management: Maintain and optimize the Kubernetes environment where pipelines and models run.
• Visualization Engineering: Transform outputs into interactive map layers with Mapbox on the frontend.

Conoscenze

Airflow

Kubernetes

Docker

Python

PostGIS

Strumenti

PostGIS

ClickHouse

Mapbox

Descrizione del lavoro

RealAdvisor is seeking a Machine Learning Engineer to own geospatial data products and end-to-end data pipelines. You will orchestrate workflows on Kubernetes, build high-performance geospatial visualizations with Mapbox, and ensure production-grade Python code powers real estate insights.

This fully remote role offers ownership, autonomy, and collaboration with an international team across Europe, focusing on scalable data platforms and fast-moving market insights.