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!
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