Senior Analytics Engineer

At Canopius, our delivery teams are responsible for ensuring that business users can effectively harness data insights to drive strategic decision making. Our data strategy is centred around an enterprise Lakehouse platform on Databricks, avoiding fragmented, ungoverned silos on legacy technologies that hamper creativity and scalability. We are building a governed, interoperable data estate that enables self-service for our business teams and provides the trusted foundation for advanced analytics, machine learning and AI to accelerate change across our industry.

This role is an opportunity to apply your expertise in analytics engineering, data modelling and visualisation to build, extend and maintain the analytics and reporting capabilities that are central to decision making across Canopius. You will contribute to key business transformation projects, working closely with senior business stakeholders and leveraging modern technologies such as Power BI and Databricks. As a senior member of the team, you will also act as a role model and mentor to other engineers, providing guidance and support.

The ideal candidate is an experienced analytics engineer looking for a new challenge who is enthusiastic about using technology to accelerate change within our industry. You should have the ability to understand business problems and deliver efficient and reliable solutions tailored to our unique challenges, while keeping to a high degree of technical excellence and good analytics engineering practices. You should be comfortable collaborating and working as part of a dynamic multi-disciplinary team.

This role is central to delivering Canopius’ data strategy by turning a governed, interoperable data estate into trusted, self-service insight. Alongside hands-on delivery, the role provides technical leadership across analytics initiatives, helping to establish a future-ready, cloud-native reporting ecosystem and supporting the transition of legacy reporting onto modern platforms