About the Role
We are looking for a Data Warehouse Engineer to join a growing data team building a modern enterprise data platform from scratch. This role offers the opportunity to work on a high-impact initiative supporting reporting and analytics across the organisation.
You will collaborate with cross-functional teams and help enable a self-service BI environment, working with tools such as Snowflake, dbt, Airflow, and BI platforms.
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Build and maintain data pipelines for analytics and reporting
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Ensure data quality, reliability, and efficient delivery through automation
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Develop and optimise data models for self-service BI
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Support users with data-related questions and reporting issues
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Contribute to data governance and performance optimisation
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Collaborate with teams to deliver scalable data solutions
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Create documentation and follow best practices
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4+ years of hands-on experience with Snowflake (or similar) and dbt,
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Experience working with complex datasets
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Good Python skills
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Strong data modelling and analytical skills
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Focus on automation and data quality
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Ability to work with both technical and business stakeholders
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Nice to have - experience with Airflow, Fivetran, or BI tools
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Nice to have - Interest in using AI tools in data engineering
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