About the Role
This role is an opportunity to apply your expertise in Azure technologies, data storage, and data engineering techniques to build, extend, and maintain our data ecosystem. You will contribute to key business transformation projects, working closely with senior business stakeholders and leveraging modern technologies. 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 data 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 data 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 through development of new data capabilities and supporting the final transition from legacy SQL Server-based environments. Alongside hands-on delivery, the role provides technical leadership across data engineering initiatives, helping to establish a future-ready, cloud-native data ecosystem.
Responsibilities
- Build, extend, and maintain our data ecosystem.
- Contribute to key business transformation projects.
- Act as a role model and mentor to other engineers.
- Deliver efficient and reliable solutions tailored to unique challenges.
- Collaborate and work as part of a dynamic multi-disciplinary team.
- Support the final transition from legacy SQL Server-based environments.
- Provide technical leadership across data engineering initiatives.
- Establish a future-ready, cloud-native data ecosystem.
Requirements
- Expertise in Azure technologies.
- Expertise in data storage.
- Expertise in data engineering techniques.
- Ability to understand business problems.
- Ability to deliver efficient and reliable solutions.
- High degree of technical excellence.
- Good data engineering practices.
- Comfortable collaborating and working as part of a dynamic multi-disciplinary team.
Skills
- Azure technologies
- Data storage
- Data engineering techniques
- Databricks
- Reporting
- Analytics
- Machine learning
- AI
Location
- City of London
Work Type
- Hybrid working
Experience Level
- Senior
Salary/Compensations
- Competitive base salary
Benefits
- Hybrid working
- Competitive base salary
- Non-contributory pension
- Discretionary bonus
- Insurances including health (family) and dental cover
- Benefits to enhance financial, physical, social and psychological health
About the Company
- Canopius is a global specialty lines (re)insurer.
- One of the leading insurers in the Lloyd’s of London insurance market.
- Offices in the UK, US, Singapore, Australia and Bermuda.
- Fosters a distinctive, positive culture which enables employees to bring their whole selves to work to flourish as people, and build a business which delivers profitable, sustainable results.
- Based in incredible new offices in the heart of the City of London.
- Operates a flexible, hybrid working model.
- Committed to providing an environment that challenges employees to be their best and where everyone's unique contributions are recognised, valued and respected.
Equal Opportunity
- Fully committed to equal employment opportunities for all applicants.
- Providing employees with a work environment free of discrimination and harassment.
- All employment decisions are made regardless of age, sex, gender identity, ethnicity, disability, sexual orientation, socio-economic background, religion or beliefs, marital or caring status, or any other status protected by the laws or regulations in the locations where we operate.
- Encourage and welcome applicants from all diverse backgrounds.
- Make reasonable adjustments throughout the recruitment process and during employment.
- Provide information in an alternate format or any other reasonable adjustments upon request.
