We are currently recruiting for a Senior Data Engineer to join a growing, data-driven organisation. This is an exciting opportunity to play a key role in building and shaping a modern data engineering function. This role combines hands-on technical delivery with mentoring and collaboration, making it ideal for someone who enjoys both developing high-quality data solutions and supporting others. Key Responsibilities: Build and maintain scalable ETL/ELT pipelines using Snowflake, dbt, and SQL Transform complex data into structured, analytics-ready datasets Develop and optimise Snowflake components (tasks, streams, stages, dynamic tables) Monitor and improve data quality, performance, and cost efficiency Work with stakeholders to translate business needs into data models and pipelines Manage cloud-based data ingestion (Azure Blob, GCS) Maintain documentation, version control (Git), and CI/CD pipelines Support team development and contribute to hiring and best practicesRequirements: Strong SQL skills (joins, CTEs, window functions, optimisation) Experience working with Snowflake in a production environment Knowledge of dbt (models, testing, documentation) Experience building pipelines in a cloud-based data environment Python (or similar) for scripting and automation Understanding of data warehouse architectures (e.g. medallion layers) Strong communication and stakeholder engagement skillsDesirable Skills: Azure (Data Factory, Blob Storage, DevOps) Power BI or other BI tools CI/CD tools (dbt Cloud, GitHub Actions, pipelines) Data governance and metadata managementBenefits: Hybrid and flexible working Private healthcare Pension scheme Career progression opportunities Collaborative and supportive environment Regular team eventsApply Now! Cherry Professional are recruiting for this opportunity on behalf of our client. Please view our Privacy Policy on our website to understand how your data will be used if you apply for this role