Data Engineer Specializing in Azure, Databricks, and Python Solutions

Join a team of over 100 Data Engineers to enhance a leading Audience Intelligence Platform. Utilize Azure, Databricks, and Python to design and build efficient data solutions for the sports industry. This role is pivotal for a Data Engineer, supporting the creation and optimization of scalable data platforms. Collaborate with product and marketing teams, ensuring high-performance data products that drive impactful insights. You'll leverage your skills in Python and data analytics to contribute to a vibrant and innovative environment. Key Responsibilities: • Design and test scalable data platform solutions in Azure • Build high-quality data products and pipelines • Collaborate with teams to provide data-driven insights • Write clean, maintainable code following best practices • Continuously optimize data workflows and performance Requirements: • Experience with data lakehouse environments preferred • Proficient in Python and PySpark for data tasks • Hands-on Azure experience with ADF and Databricks • Familiarity with CI/CD pipelines using Azure DevOps • Strong SQL skills for querying and managing data Make a significant impact in the sports and entertainment sectors by delivering innovative solutions through top-notch data engineering.