Snowflake Data Engineer - #2166711

Snowflake Data Engineer

Up to £60,000

We're looking for a Snowflake Engineer to join a growing data team responsible for building and evolving a modern cloud-based data platform. This is an opportunity to work with large and complex datasets, helping to improve how data is consumed across the business.

As part of a highly collaborative engineering team, you will be involved in designing and developing scalable data solutions within Snowflake, as well as supporting reporting, analytics and emerging AI initiatives. You will have the chance to work with modern technologies, contribute to platform improvements and play a key role in shaping the future data landscape.

This position would suit someone who enjoys solving technical challenges, building robust data pipelines and working closely with both technical and business stakeholders.

Key Responsibilities

• Design and develop scalable data pipelines within Snowflake.
• Build and maintain ETL/ELT processes using SQL and Python.
• Create and enhance data models to support reporting, analytics and advanced data use cases.
• Develop efficient, reliable and reusable data solutions to support business requirements.
• Support the migration and integration of data from a range of source systems.
• Monitor and optimise Snowflake workloads to improve performance and cost efficiency.

Skills & Experience

• Commercial experience as a Data Engineer working with cloud-based data platforms.
• Strong hands-on experience with Snowflake.
• Excellent SQL and Python skills.
• Experience building and maintaining ETL/ELT pipelines.
• Experience working with AWS, Azure or GCP.
• Strong understanding of data modelling and data warehousing principles.
• Experience optimising data pipelines and database performance.

What's On Offer?

• Salary up to £60,000
• Hybrid working arrangement.
• Opportunity to work with modern cloud and data technologies.
• Ongoing training and development opportunities.
• Clear progression pathways within a growing data function.
• Collaborative and supportive team environment.
• Exposure to large-scale data platforms and modern engineering practices.