Senior Snowflake Data Engineer - Remote - £competitive About the Role We are looking for an experienced Senior Snowflake Data Engineer to join a dynamic team working on cutting-edge data solutions. This is an exciting opportunity to design, build, and optimise high-performance data pipelines using Snowflake, dbt, and modern engineering practices. If you are passionate about data engineering, test-driven development, and cloud technologies, we'd love to hear from you. Key Responsibilities Design, develop, and optimise scalable data pipelines in Snowflake. Build and maintain dbt models with robust testing and documentation. Apply test-driven development principles for data quality and schema validation. Optimise pipelines to reduce processing time and compute costs. Develop modular, reusable transformations using SQL and Python. Implement CI/CD pipelines and manage deployments via Git. Automate workflows using orchestration tools such as Airflow or dbt Cloud. Configure and optimise Snowflake warehouses for performance and cost efficiency. Required Skills & Experience 7 years in data engineering roles. 3 years hands-on experience with Snowflake. 2 years production experience with dbt (mandatory). Advanced SQL and strong Python programming skills. Experience with Git, CI/CD, and DevOps practices. Familiarity with ETL/ELT tools and cloud platforms (AWS, Azure). Knowledge of Snowflake features such as Snowpipe, streams, tasks, and query optimisation. Preferred Qualifications Snowflake certifications (SnowPro Core or Advanced). Experience with dbt Cloud and custom macros. Exposure to real-time streaming (Kafka, Kinesis). Familiarity with data observability tools and BI integrations (Tableau, Power BI). What We Offer Opportunity to work with modern data technologies and large-scale architectures. Professional development and certification support. Collaborative, engineering-focused culture. Competitive salary and benefits package. Interested? Apply now with your CV highlighting your Snowflake, dbt, and DevOps experience