Senior Data Engineer

Ki; Greater London; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading insurance technology firm in Greater London is looking for a Data Engineer to design and maintain data pipelines critical for company success. The ideal candidate will collaborate with actuaries and data scientists, utilizing Python and SQL, and need experience in data modeling. The role supports agile methodologies and requires a background in cloud infrastructure. The company offers a competitive remuneration package and values diversity and inclusion.

Benefits

Competitive remuneration package

Inclusive work environment

Opportunities for recognition and celebration of efforts

Qualifications

• Experience in designing data models and industrialised data pipelines.
• Strong knowledge of database and data lake systems.
• Comfortable with writing Python and SQL.

Responsibilities

• Design, build and maintain data pipelines for the Ki algorithm.
• Optimize and utilize data sources effectively.
• Create frameworks for managing Ki's data assets.

Skills

Data modeling design

Industrialised data pipelines

Python

SQL

Shell scripting (Bash)

Cloud infrastructure provisioning

Tools

GCP

DataOps pipelines

Job 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?

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.

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
• Serve as a domain expert for one or more of Ki’s core technologies
• Mentor and coach colleagues in both engineering and business domain subjects
• Uphold and advance the engineering team’s principles and ways of working

• Experience designing data models and developing industrialised data pipelines
• Strong knowledge of database and data lake systems
• Comfortable writing Python and SQL (any flavour)
• Comfortable with shell scripting with Bash or similar
• Experience provisioning new infrastructure in a leading cloud provider, preferably GCP Experience creating DataOps pipelines

Desirable Skills

• Experience of streaming data systems and frameworks would be a plus
• Experience working in regulated industry, especially financial services would be a plus
• Experience creating MLOps pipelines is a plus

What to expect during the recruitment process:

1. Initial recruiter screening call
2. Interview with hiring manager
3. Technical Interview (this may vary depending on the role)
4. Values Interview

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.

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, apply now!