- Play a key role in the Analytics Engineering function and dbt environment
- Build and maintain scalable data models from the staging layer through to the "Golden Layer," with a focus on performance and reliability on AWS Redshift
- Serve as a technical data partner for Product, Operations, Commercial, and other business functions
- Translate business requirements into robust data models and ensure cross-functional teams have the reliable data foundations they need
- Work closely with the Lead Data Engineer and Analytics Lead to contribute to the overall data strategy
- Support the growth of more junior team members through code reviews, knowledge sharing, and day-to-day guidance
- Contribute to the code-based backend of our BI environment (Lightdash & Count)
- Support the development and maintenance of the Semantic Layer and assisting in the integration of AI capabilities (e.g text-to-SQL) to advance self-serve analytics
- Actively champion software engineering best practices within the data team, including Gitlab/GitHub workflows, CI/CD pipelines, testing frameworks, and documentation-as-code
- Contribute to the development of automations and AI capabilities within the Analytics Engineering function
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