Queen Square Recruitment Ltd

Senior Data Engineer Hybrid: 3 days in office, Warwick Duration: 6-Month Contract Rate: 450/day (Inside IR35) A leading organization is seeking a Senior Data Engineer to join their cloud data platform team on a hybrid basis (3 days in office, Warwick). This is a 6-month contracting role offering competitive daily rates and the opportunity to contribute to a modern, cloud-native data platform. The Role You will be responsible for driving the design and implementation of scalable, high-performing data architectures and pipelines. Working with the Interconnectors Data Platform (ICDP), you will provide both technical leadership and hands-on development, supporting the transition to modern Azure-based ingestion patterns and Medallion Architecture. Key Responsibilities Lead the design and implementation of scalable data architectures and layered models (Bronze/Silver/Gold). Develop robust, secure, and observable ingestion and transformation pipelines using Azure-based tools. Lead the migration from legacy ETL tools to modern cloud pipelines (ADF, Azure Functions, event-driven frameworks). Build performant SQL transformations and reusable data models. Implement CI/CD, automated testing, version control, and observability in workflows. Ensure data quality, validation, reconciliation, and auditability across platform layers. Collaborate with business and product teams to deliver high-quality analytical outputs. Mentor junior data engineers and contribute to team capability development. Required Skills & Experience Strong hands-on experience with Python for production-grade pipelines. Expert-level SQL , including optimization and data modelling. Azure Cloud experience (ADF, Functions, Storage, Key Vault). Deep understanding of data warehousing, dimensional modelling, and scalable architectures . Proficiency in Git, CI/CD, automated testing, and modern engineering best practices. Experience with API and SFTP ingestion and resilient pipeline design. Strong problem-solving, communication, and stakeholder collaboration skills. Desirable Experience with Medallion/Lakehouse patterns or Databricks-style ecosystems. Experience in regulated or high-assurance data environments. Collaboration with modeling teams in engineering-modelling interfaces