Data Engineer at Ki

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

08 Feb, 26

Salary

0.0

Posted On

10 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Python, API Development, PostgreSQL, MySQL, BigQuery, Cloud Platforms, GCP, AWS, IAC, CI/CD Pipelines, Data Modelling, ETL, Data Quality, Collaboration, System Design

Industry

Insurance

Description

Who are we?👋 Look at the latest headlines and you will see something Ki insures. Think space shuttles, world tours, wind farms, and even footballers’ legs. Ki’s mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier. It is the fastest growing syndicate in the Lloyd's of London market, and the first ever to make $100m in profit in 3 years. Ki’s teams have varied backgrounds and work together in an agile, cross-functional way to build the very best experience for its customers. Ki has big ambitions but needs more excellent minds to challenge the status-quo and help it reach new horizons. Where you come in? You’ll be joining the Portfolio Data squad to tackle some of the most critical challenges in transforming how we manage insurance exposure and risk aggregations. The current data estate is siloed, inefficient, and difficult to scale, so the team is designing a robust solution to support seamless data ingestion, scalable storage, and optimise for downstream use cases, including developing our algorithmic underwriting capability. Alongside this, the squad is building a trusted source of truth for insurance exposure data — aligning methodologies with the Exposure Management team and delivering intuitive, high-value views and dashboards for Portfolio Management. By joining us, you’ll help modernize our data landscape, eliminate manual and unreliable processes, and empower the business with faster, smarter, and more reliable insights. 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 • Design and engineer a data model 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 • 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. • 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 You’ll get a highly competitive remuneration and benefits package. This is kept under constant review to make sure it stays relevant. We understand the power of saying thank you and take time to acknowledge and reward extraordinary effort by teams or individuals. Ki Values: Know Your Customer: Put yourself in their shoes. Understand and balance the different needs of our customers, acting with integrity and empathy to create something excellent Grow Together: Empower each other to succeed. Recognise the work of our teams, while celebrating individual success. Embrace diverse perspectives so we can develop and grow together. Be Courageous: Think big, push boundaries. Don’t be afraid to fail because that’s how we learn. Test, adapt, improve - always strive to be better. Our culture: At Ki, we are committed to creating an inclusive environment where every colleague is valued and respected for who they are and can do the best work of their careers. Inclusion is a critical foundation of our business and people strategies and supports our vision of becoming a market-leading, digital and data-led specialty insurance business. An inclusive workplace fuels innovation because creativity thrives when everyone feels valued, respected, and supported to drive it. So, no matter who you are, where you’re from, how you think, or who you love, we believe you should be you.

Responsibilities

You will design, build, optimize, and maintain production-grade data pipelines to support Ki's algorithm. Additionally, you will create frameworks and systems to manage and govern Ki’s data assets.