24 set - Milano
Colliers
Company DescriptionColliers (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 .Si candidi (facendo clic sul pulsante apposito) dopo aver controllato tutte le informazioni di lavoro riportate di seguito.Job DescriptionYou 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. xysqume You are curious, proactive, and eager to understand how data supports business decisions, particularly within a complex and evolving industry like real estate.Your ActivitiesImplementing and maintaining data ingestion pipelines, following company standardsWriting and optimizing SQL queries, including analytical and geo spatial use casesDeveloping Python scripts for data processing, transformations and data acquisition toolsSupporting data quality checks and basic monitoring activitiesCollaborating with international stakeholders within a shared data frameworkQualifications2–4 years of experience in Data Engineering or similar technical rolesSolid knowledge of Python and SQLExperience working with geospatial data and tools such as PostGISStrong analytical and problem-solving skillsA reliable, pragmatic, and detail-oriented mindsetAbility to work both independently and as part of an international teamFluent Italian (native or C1 level) and good proficiency in EnglishExperience with cloud data platforms (e.G., Google Cloud Platform or similar)Exposure to Real Estate or location-based datasetsCuriosity about how data supports business decision-making#J-18808-Ljbffr
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