Senior Engineer, Data Engineering
Principal Data Engineer | London Hybrid | Up to £120,000 + Benefits Do you want to shape the future of data at a global entertainment leader where cutting-edge technology powers unforgettable guest experiences? We're looking for a Principal Data Engineer who's passionate about defining world-class data architecture and leading high-performing engineering teams to build the platforms that drive commercial growth. What You'll Do as a Principal Data Engineer Lead the architectural direction of our new data estate, defining the patterns and blueprints that will shape our platform for years to come. Manage and develop a team of data engineers, driving hiring, performance and professional development. Implement modern engineering standards across CI/CD, automated testing, observability and cost control. Partner with the Data Delivery Lead to balance short-term fixes with long-term strategic build. What You Bring as a Principal Data Engineer ~ Degree in Computer Science, Data Science or a related field. ~5 to 8 years in data engineering or hands-on data architecture, with at least 3 years in a leadership position. ~ Expert level proficiency in Databricks, Azure and SQL/Python, with GCP and BigQuery experience highly desirable. ~ A proven track record of refactoring legacy data estates and migrating them to modern platforms without disrupting business continuity. ~ A player-coach mindset, equally comfortable leading a team and writing production-grade code. ~ High emotional intelligence with the ability to manage non-technical stakeholders and present confidently to senior leadership. Hybrid working model (2 days per week in London) Private pension scheme and life assurance Employee assistance programme Access to Perks at Work with thousands of national and local discounts Ongoing training and development opportunities If you're ready to lead a data engineering transformation at global scale, apply now for this Principal Data Engineer role and help power extraordinary experiences through data and technology. **
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