Data analytics engineer

Role overview

Work arrangement

• Hybrid working includes one day per week in the London, Edinburgh or Bath office.

Responsibilities

• Design, build and maintain SQL and DBT models that turn complex source data into clear, reusable datasets.
• Partner with Product, Engineering, Operations and client-facing teams to understand requirements and create scalable data solutions.
• Maintain consistent metrics, modelling standards and analytical practices.
• Support real-time and incremental data processing, including streaming and event-driven technologies.
• Improve dataset documentation and usability so teams can use data more independently.

Experience and qualifications

• Strong SQL and data modelling skills, including work with large, complex datasets.
• Experience with Python and modern analytics engineering tools such as DBT, including testing, documentation, version control and CI/CD.
• Familiarity with relational and non-relational database architecture and dimensional modelling.
• Experience with cloud data platforms; AWS is preferred.
• Streaming or event-driven architecture experience, including Kafka/AWS MSK, MongoDB change streams or CDC, is preferred.
• Hands-on experience with an orchestration tool such as Airflow.
• Able to collaborate across functions, communicate technical trade-offs and own work end to end.

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