Data Engineer - Real Estate

At Colliers, we help leaders succeed by helping them build amazing workplaces, businesses, and communities around the world. We do this by thinking differently, sharing innovative ideas, and offering a unique and collaborative workplace where you can succeed.

BE creative. BE the expert. BE a team player. Be all that and more at Colliers International.

Colliers is a listed real estate advisor active in 66 countries with more than 18,000 employees. We contribute to a better society by solving real estate issues and accelerating the sustainability transition in the built environment. In 2025 we will be completely climate neutral.

We connect global market developments and data with the needs of property owners, property investors, and property tenants. This enables us to understand the sector of tomorrow and to provide forward-looking advice. These insights help us add value to all phases of the real estate cycle and build long-lasting customer relationships. We offer creative solutions that are not only attractive today, but also remain relevant and sustainable later on.

In Italy, we work with 170 professionals in an organization where entrepreneurship, expertise, and doing the right thing are important. Together we shape the future of real estate.

You are a Data Engineer with a passion for hands-on development and a strong interest in building reliable, scalable data solutions. You enjoy working in structured environments, following clear standards, and contributing to real-world, operational systems.

You bring a pragmatic and detail-oriented mindset, combined with solid technical foundations in data engineering. You are comfortable collaborating with international teams and are motivated to grow your expertise within an enterprise-grade data ecosystem.

You are curious, proactive, and eager to understand how data supports business decisions, particularly within a complex and evolving industry like real estate.

Your Activities

• 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

• 2–4 years of experience in Data Engineering or similar technical roles
• Solid knowledge of Python and SQL
• Experience working with geospatial data and tools such as PostGIS
• Strong analytical and problem-solving skills
• A reliable, pragmatic, and detail-oriented mindset
• Ability to work both independently and as part of an international team
• Fluent Italian (native or C1 level) and good proficiency in 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 decision-making