At a Glance
- Tasks: Design and optimise data pipelines for real-time insights in insurance.
- Company: Ki Insurance, a leader in algorithmically underwritten insurance.
- Benefits: Competitive salary, flexible working hours, and opportunities for skill development.
- Other info: Dynamic work environment with strong collaboration and growth potential.
- Why this job: Join an agile team and make a real impact on innovative data solutions.
- Qualifications: Experience in data modelling, ETL/ELT, and proficiency in Python.
Ki Insurance is building a cutting-edge data platform to monitor the commercial performance of its algorithmically underwritten insurance business in real time. You will join an agile squad, collaborating with actuaries, data scientists and engineers to design, build and optimise production-grade data pipelines feeding the Ki algorithm and its analytics platforms.
The role emphasises hands-on data modelling, ETL/ELT, and modern cloud-based data solutions across GCP/AWS, with strong Python API.
Data Engineer, Real-Time Insights & MLOps employer: Ki Insurance
Ki is an exceptional employer, offering a dynamic and innovative work environment at the forefront of the insurance industry. With a strong focus on employee growth, Ki provides opportunities for professional development and encourages collaboration across diverse teams. Located in the heart of London, employees benefit from a competitive remuneration package and a culture that values recognition and rewards outstanding contributions.
