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

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

Your Skills & Experience

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