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# Data Engineer

- **Company:** Ki
- **Location:** London, UK
- **Salary:** £61,483.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, BigQuery, Cloud Computing, Databases, Information Engineering, Extract Transform Load (ETL), Data Security, Data Systems, Python (Programming Language), PostgreSQL, Monte Carlo Methods, MySQL, Software Engineering, Data Logging, Flask (Web Framework), Fastapi, Deployment Automation, Machine Learning Operations, Api Design, Data Pipelines
- **Published:** August 5, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5828061421

## About the Role

* Strong experience in software engineering with proficiency in a language such as Python for API development, data engineering and automation tasks
 * A background in working with storage solutions such as PostgreSQL, MySQL, and BigQuery
 * Experience in API development using tools such as FastAPI or Flask, enabling data access and integration across systems
 * Solid knowledge of cloud platforms (GCP and/or AWS), with the ability to design and deploy data solutions at scale
 * Experience with IAC and CI/CD pipelines to ensure reliable, repeatable, and automated deployments
 * An understanding of data modelling, ETL/ELT processes, and best practices for data quality and governance
 * Collaborative mindset, with the ability to work closely with stakeholders such as Exposure Management, Portfolio Management, and Data Science
 * Curiosity, adaptability, and enthusiasm for working in an agile, squad-based environment

Desirable Skills:

 * Experience working with large, complex, and siloed data estates, with a track record of simplifying and streamlining processes
 * A foundation in system design, with the ability to architect scalable, maintainable, and resilient data systems

## Description

You'll join our commercial performance insights squad to tackle some of our most critical challenges in monitoring the commercial performance of our algorithmically underwritten insurance business in real time.

We're upgrading the foundation that captures algorithm decision data, moving from database logging to a versioned event stream with purpose-built views for each customer use case. This will unlock faster, more reliable insights across our customer-facing products.

With the growing adoption of our Monte Carlo simulation engine, we can understand the impact of changes to our algorithmic underwriting before they're released, as well as stress-test changing market conditions. You'll have the chance to dive deep into insurance domain modelling problems alongside data engineering.

You'll work in an agile, cross-functional squad close to the people who consume what we build, helping us shape our engineering culture.

What you will be doing: ️

 * Work with actuaries, data scientists and engineers to design, build, optimise and maintain production grade data pipelines to feed the Ki algorithm
 * Work with actuaries, data scientists and engineers to understand how we can make best use of new internal and external data sources
 * Work with data architects to design and engineer data models and supporting infrastructure which can support our ambitions for growth and scale
 * Create frameworks, infrastructure and systems to manage and govern Ki's data asset
 * Work with the broader Engineering community to develop our data and MLOps capability infrastructure


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