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Senior Data EngineerOur Global client is looking for a Data Engineer to join a strategic programme to modernise their booking system, migrating from legacy platforms to a new platform by the end of 2026. The team is building robust data pipelines from multiple source systems to support this migration, ensuring high-quality, accessible and secure data for analytics and operational reporting. Key Responsibilities: Build, maintain and optimise scalable, secure and well-governed data pipelines.Develop and maintain data models (Data Vault and Dimensional).Ensure data quality, lineage, governance and security standards are embedded in all pipelines.Troubleshoot and resolve data pipeline issues, performing root cause analysis and implementing preventative solutions.Collaborate in Agile delivery, supporting sprint planning, refinement, testing and show & tell sessions.Mentor and share knowledge with junior engineers, supporting a collaborative team environment.Contribute to continuous improvement, identifying opportunities to optimise processes, workflows and system performance. Skills & Experience Required Experience building data pipelines in distributed environments (DBT, Snowflake, SQL Server Stack; experience with Kafka, MySQL, Azure or AWS is a plus).Strong expertise in Data Vault and Dimensional modelling is essential. Experience embedding data governance, quality, monitoring and alerting into pipelines.Knowledge of Agile delivery and CI/CD principles.Excellent communication skills, with experience collaborating across multi-site and international teams.Experience with enterprise data warehouses and end-to-end data lifecycle management. Why Join?This is a high-impact programme where your work will directly support a major techn