Data Engineer

**Job Title** Data Engineer**Job Description Summary** Key Objectives: Supports the development, optimization, and maintenance of Cushman \& Wakefield’s commercial real estate (CRE) forecasting infrastructure across the Americas. This role is focused on engineering robust data pipelines, automating model workflows, and ensuring the integrity and scalability of forecasting systems. Operate as a self\-sufficient data practitioner, capable of independently delivering data solutions or working side\-by\-side with technology teams to ensure alignment and production readiness of QIG capabilities on an iterative basis. Works closely with senior economists, analytics leads, and technical teams to deliver high\-quality, production\-ready data solutions that underpin the firm’s House View and related analytical products.**Job Description** **Time Series Data Engineering, Maintenance \& Automation (40%)** * Prototype, build and maintain automated data pipelines for ingesting, transforming, and storing CRE and macroeconomic datasets used in forecasting models. * Ensure data integrity and consistency across all QIG’s inputs and outputs through rigorous validation and quality control procedures. Design and enforce structured data interfaces and integration patterns to ensure consistent ingestion and interoperability across internal and external data sources. * Work closely with cross\-functional partners to define, refine, and validate data quality rules, using both automated checks and hands\-on analysis to ensure outputs meet analytical expectations. * Performs exploratory data analysis and profiling on raw and processed datasets to validate pipeline outputs and identify anomalies or inconsistencies. * Partner with PRI (Property Research \& Intelligence), TDS (Technology Data Solutions), GIS (Geographic Information System) and forecasting team to ensure governance of time series data, as revisions to geography\-based competitive sets can occur. * Coll