Data Engineer
Cherry Professional
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
- 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
- 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
- Hybrid and flexible working
- Private healthcare
- Pension scheme
- Career progression opportunities
- Collaborative and supportive environment
- Regular team events
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