ulliCompensation: EUR 28,000 - EUR 35,000 - yearly /li /ul h3Company Description /h3 pbColliers (NASDAQ, TSX: CIGI) /bis 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.
/p h3Job Description /h3 pYou 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.
/p pYou 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.
/p pYou are curious, proactive,

and eager to understand how data supports business decisions, particularly within a complex and evolving industry like real estate.
/p pbYour Activities /b /p ul liImplementing and maintaining data ingestion pipelines, following company standards /li liWriting and optimizing SQL queries, including analytical and geo spatial use cases /li liDeveloping Python scripts for data processing, transformations and data acquisition tools /li liSupporting data quality checks and basic monitoring activities /li liCollaborating with international stakeholders within a shared data framework /li /ul h3Qualifications /h3 ul li2–4 years of experience in Data Engineering or similar technical roles /li liSolid knowledge of Python and SQL /li liExperience working with geospatial data and tools such as PostGIS /li liStrong analytical and problem-solving skills /li liA reliable, pragmatic, and detail-oriented mindset /li liAbility to work both independently and as part of an international team /li liFluent Italian (native or C1 level) and good proficiency in English /li liExperience with cloud data platforms (e.g., Google Cloud Platform or similar) /li liExposure to Real Estate or location-based datasets /li liCuriosity about how data supports business decision-making /li /ul pBy clicking the link above or any third-party link within this posting, you are leaving this site and going to a third-party website where the third-party website's terms and privacy policy apply /p #J-*****-Ljbffr

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