Data Engineer

Your new role

As part of the Data Analytics & AI team, you'll help build and evolve a Snowflake-based data platform. You will design and maintain robust data pipelines and models that transform data from operational systems into trusted, analytics-ready assets. Your work will enable high-quality reporting, insight generation, and future AI/ML initiatives across the business.

What You'll Do

* Build & Maintain Pipelines: Develop ELT/ETL pipelines using dbt, Python, and orchestration tools.

* Work with Snowflake: Design and optimise data models, manage performance, and adopt advanced Snowflake features.

* Ensure Data Quality: Apply governance, security, and compliance standards.

* Collaborate: Support analysts and business teams with clean, structured data for reporting and analytics.

* Monitor & Improve: Implement monitoring, alerting, and cost controls for Snowflake and pipelines.

* Contribute to Best Practices: Help define standards for naming, schema design, and development processes.

What you'll need to succeed

Strong hands-on experience with Snowflake, SQL, Python, and Dbt

Solid understanding of data modelling, data governance, and cloud platforms (AWS preferred)

Experience supporting analytics using BI tools such as Power BI

Familiarity with data ingestion tools (e.g. Airbyte, Fivetran)

Working knowledge of Git, CI/CD, and modern data engineering practices

What you need to do now

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.

If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.

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