Data & Business Analyst - Real Estate

Colliers (NASDAQ, TSX: CIGI) is a global diversified professional services and investment management company operating through three industry-leading businesses: Commercial Real Estate, Engineering and Investment Management. With greater than a 30-year track record of consistent growth and strong recurring cash flows, we scale complementary, high-value businesses that provide essential services across the full asset lifecycle. Our unique partnership philosophy empowers exceptional leaders, preserves our entrepreneurial culture, and ensures meaningful inside ownership – driving strong alignment and sustained value creation for our shareholders. With $6 billion in annual revenues, 28,000 professionals, and $110 billion in assets under management, Colliers is committed to accelerating the success of our clients, investors, and people worldwide. Learn more at corporate.colliers.com.

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

• 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