Data Engineer, Savills

• At least 1 year of work experience as a data engineer / data professional necessary.

Desirable

• Your role is to enhance and maintain the infrastructure, systems and pipelines that collect, store and process the data we have access to. This role is critical to ensuring that our data is clean, reliable and ready to be modelled so that it can unlock opportunities to drive business growth for the Marketing function and wider business.
• Design, build, and optimize robust and scalable data pipelines to ingest, process, and transform data from various sources
• Develop ETL (Extract, Transform, Load) processes to ensure the efficient movement and transformation of data
• Automate repetitive data engineering tasks, enhancing the reliability and efficiency of data workflows
• Integrate data from multiple sources (internal and external) to build comprehensive data solutions
• Manage large volumes of structured and unstructured data, ensuring high-quality, reliable, and accurate data for analysis and reporting
• Use analytical tools (SQL, Python, R, etc.) to clean, analyse, and interpret complex data sets
• Translate technical data challenges into clear, actionable insights for non-technical stakeholders
• Act as a liaison between business units and technical teams to identify and implement data solutions
• Ensure high standards of data quality, consistency, and governance across the organization
• Implement data validation and cleansing techniques to improve data integrity
• Monitor and maintain data accuracy and compliance with regulatory standards
• Stay current with industry trends, tools, and best practices in data engineering and analytics
• Identify opportunities for continuous improvement in data processes, methodologies, and technologies
• Drive innovation in data engineering practices and encourage the adoption of modern tools and techniques

• 1. Phone call with Internal Recruiter
• 2. Two stage interview