Data Engineer for Sports Analytics

Join a leading data team to build innovative data solutions in the sports industry. As a Data Engineer, you'll leverage Azure and Python to optimize scalable data platforms that drive insights. This role focuses on designing, building, and testing data solutions within an audience intelligence platform. Collaborate with product and marketing teams, ensuring delivery of high business value by developing reliable and efficient data products. Your commitment to best practices and team collaboration will enhance the quality and impact of data engineering outputs. Key Responsibilities: • Design and optimize scalable data platform solutions in Azure • Develop robust data products ensuring reliability and performance • Collaborate with teams to deliver data-driven insights • Write maintainable code per established standards • Continuously improve data workflows and performance Requirements: • Experience in data lakehouse environment design • Proficient in Python and PySpark • Familiar with Azure tools: ADF, Databricks • Knowledge of CI/CD pipelines using Azure DevOps • Strong SQL skills for data management Be part of a team that shapes the future of sports through advanced data technology.