Analytics Engineer

Analytics Engineer (12 Month FTC)

Fully Remote (UK)

Up to £90,000 + benefits

This is an excellent opportunity to step into a high-impact Analytics Engineer role within a growing, mission-driven organisation. You will take ownership of critical data models and pipelines, ensuring business continuity while contributing to the ongoing development of a modern data platform. With a strong focus on autonomy and collaboration, this role offers the chance to make a meaningful contribution from day one.

The Company

They are a fast-growing digital organisation operating within a highly regulated environment, delivering impactful services at scale. With a strong emphasis on data as a core enabler, they are investing in a modern cloud-based data stack to support decision-making and operational efficiency. Their culture is collaborative and flexible, with a fully remote setup and opportunities to connect in person when desired. The team values thoughtful data practices, strong governance, and continuous improvement.

The Role

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• Take ownership of billing automation pipelines and ensure they continue running effectively
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• Complete in-flight data modelling projects and contribute to new model development
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• Build and maintain dbt models, including fact and dimension tables and metric layers
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• Collaborate closely with data engineering to support the end-to-end data platform
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• Review SQL and dbt work from analysts, supporting best practices and consistency
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• Contribute to improving data quality, structure, and governance across the platform
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Your Skills & Experience

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• Strong commercial experience with dbt, including building and maintaining data models
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• Advanced SQL skills and working knowledge of Python in a modern data environment
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• Experience working with cloud-based data platforms such as a lakehouse architecture
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• Understanding of data modelling principles, including star schemas and data transformation
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• Ability to work independently in a fast-moving and evolving environment
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• Comfortable collaborating across teams and reviewing or guiding others’ work
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• Exposure to Databricks is beneficial but not essen
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• Experience in regulated environments or data-sensitive industries is advantageous
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