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 (eg 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.

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