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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