Location: London - Hybrid Contract: 6 monthsRate: £450 per dayWorking Pattern: Hybrid - up to 2 days per week in the London We are looking for an experienced Senior Data Engineer to join a Data Engineering team working on large-scale customer data and value-focused initiatives. The successful candidate will have strong hands-on experience building and supporting production-grade data pipelines using AWS, PySpark, Snowflake, SQL and DBT, combined with solid software engineering and DevOps practices. Key Responsibilities Design, build and maintain production-grade data pipelines and services across AWS, PySpark, Snowflake and SQL-based transformation frameworks Develop modular, testable and maintainable data models and transformation pipelines using DBT or equivalent SQL transformation frameworks Build and optimise large-scale data processing solutions Improve pipeline reliability through automation, monitoring, validation and dependency management Diagnose and resolve production pipeline failures and data quality issues Manage pipeline reruns, validation and recovery processes for critical data services Optimise Snowflake queries and data models for performance and scalability Contribute to CI/CD and DevOps practices using tools such as GitHub Actions Apply strong software engineering practices including testing, modular development, version control and SDLC standards Contribute to technical design, architecture and solutioning discussions Work closely with cross-functional ..... full job details .....