Data Engineer

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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