Data Engineer - Real Estate & Geospatial Analytics

Colliers

Milano

In loco

EUR 55.000 - 75.000

Tempo pieno

14 giorni+

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Descrizione del lavoro

Colliers in Milano is seeking a Data Engineer to design and operate reliable, scalable data pipelines within an enterprise-grade data ecosystem. You will work with international teams to deliver actionable real estate analytics.

Ideal candidates have 2–4 years in data engineering, strong Python and SQL, and experience with geospatial data (PostGIS). You will implement ingestion pipelines, write optimized queries, and develop processing scripts in a collaborative environment.

Competenze

  • 2–4 years in Data Engineering or similar roles.
  • Solid knowledge of Python and SQL.
  • Experience with geospatial data and PostGIS.
  • Strong analytical and problem-solving skills.
  • Reliable, pragmatic, and detail-oriented mindset.
  • Fluent Italian (native or C1) and good English.
  • Experience with cloud data platforms (e.g., Google Cloud Platform or similar).
  • Exposure to Real Estate or location-based datasets.
  • Curiosity about how data supports business decisions.

Mansioni

  • Implementing and maintaining data ingestion pipelines, following company standards.
  • Writing and optimizing SQL queries, including analytical and geo spatial use cases.
  • Developing Python scripts for data processing, transformations and data acquisition tools.
  • Supporting data quality checks and basic monitoring activities.
  • Collaborating with international stakeholders within a shared data framework.

Conoscenze

Python
SQL
Geospatial data
Analytical thinking
Problem solving
Independent work
Teamwork
Italian language
English language
Cloud platforms

Strumenti

PostGIS
Google Cloud Platform

Descrizione del lavoro

Colliers in Milano is seeking a Data Engineer to design and operate reliable, scalable data pipelines within an enterprise-grade data ecosystem. You will work with international teams to deliver actionable real estate analytics.

Ideal candidates have 2–4 years in data engineering, strong Python and SQL, and experience with geospatial data (PostGIS). You will implement ingestion pipelines, write optimized queries, and develop processing scripts in a collaborative environment.

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