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 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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