Senior Data Engineer

Job Description

Ki is the largest InsurTech you've never heard of – we're building technology to revolutionise how the world's most complex assets are insured.
Need to insure your satellite launch? Looking for cover for your multi-nation fast food chain? Preparing to stage an iconic music festival in a field? There isn't a price comparison website for that. Lloyd's of London is the global market place for bespoke insurance, where Ki is the leading digital underwriter.
How insurance is underwritten here hasn't changed in 300 years – until now. We're building technology to revolutionise how these unique risks are covered. We've raised $500m of private equity funding which made us the largest start-up fundraise in the UK in 2020 and we are currently on track to become the largest InsurTech globally by the end of 2021.

We're looking for a Data Engineer to join our Development team.

What you will be working on

Our broker platform is the core technology crucial to Ki's success - allowing us to evolve underwriting intelligently and unlock massive scale. We're a multi-disciplined team, bringing together expertise in software and data engineering, full stack development, platform operations, algorithm research, and data science. Our squads focus on delivering high-impact features – we favour a highly iterative, analytical approach.
You will be designing and developing complex data processing modules ranging from ETL to ML working closely with the Ki Algorithm team, who are developing the machine learning models that set key apart from the traditional syndicates. In addition, you will also work closely to the Ki Platform Team, responsible for architecting, and operating the core of the Ki platform.
We're looking for a Data Engineer to join our Development team.

What you'll be doing day to day

You will work with actuaries, data scientists and engineers to design, build, optimise and maintain production grade data pipelines to feed the Ki algorithm as well as to understand how we can make best use of new internal and external data sources. You will also 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 and work with the broader Engineering community to develop our data and MLOps capability infrastructure.

Your experience

You should have experience designing data models and developing industrialised data pipelines, a strong knowledge of database and data lake systems and be comfortable writing Python and SQL (any flavour). be smilarly comfortable with shell scripting with Bash or similar, provisioning new infrastructure in a leading cloud provider, preferably GCP (or AWS) and have experience creating DataOps pipelines. Finally you will be adept at working in an Agile environment, actively participating in approaches such as Scrum or Kanban.

Our culture

Inclusion & Diversity is at the heart of our business at Ki. We recognise that diversity in age, race, gender, ethnicity, sexual orientation, physical ability, thought and social background bring richness to our working environment. No matter who you are, where you’re from, how you think, or who you love, we believe you should be you.

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.

If this sounds like a role and a culture that appeals to you, let us know.