Data Engineer

Our data environment is currently undergoing an exciting period of change. We are consolidating a number of existing Azure Functions and data processes into a more streamlined, scalable Snowflake-based data platform.

As a Data Engineer, you’ll play a key role in this transition, helping to migrate existing pipelines and processes into Snowflake while ensuring the quality, reliability and usability of our data.

You’ll also work closely with our Data Scientists, supporting feature engineering and helping to make sure the data they need is accurate, accessible and fit for purpose., * Support the migration and consolidation of existing data pipelines and processes into Snowflake.

• Develop and maintain robust, scalable data pipelines within the Snowflake environment.
• Work with existing Azure Functions and help identify opportunities to consolidate and improve the current architecture.
• Implement and improve data quality and validation processes using dbt.
• Develop data models and transformation processes to support analytical and data science requirements.
• Work closely with Data Scientists to support feature engineering and the development of data-driven solutions.
• Troubleshoot data pipeline and quality issues and ensure reliable data delivery.
• Contribute to the ongoing development of our data engineering practices, standards and architecture.

We’re looking for someone with a strong background in data engineering who enjoys working in an environment where there is an opportunity to shape and improve the way data is managed.

You’ll ideally have experience with:

• Snowflake and cloud-based data platforms.
• Building and maintaining data pipelines.
• dbt and data quality/testing frameworks.
• Azure, particularly Azure Functions or similar cloud-based services.
• SQL and data transformation.
• Data modelling and engineering for analytical use cases.
• Working collaboratively with Data Scientists, Analysts and wider technology teams.

Experience supporting data migration or platform consolidation projects would be highly advantageous.

This is a permanent opportunity, paying up to £75,000 with hybrid working, and bonus of up to 15%. You will have the chance to make a lasting contribution to the data engineering capability as the client goes through a pivotal growth period.

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