Full job descriptionWe 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 practices
Requirements:*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 skills
Desirable 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 management
Benefits:*Hybrid and flexible working
*Private healthcare
*Pension scheme
*Career progression opportunities
*Collaborative and supportive environment
*Regular team events
Apply Now!


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