About Artificial

Help shape the future of specialty insurance

At Artificial, we’re building the next generation of technology for the specialty (re)insurance market. Our mission is to transform how brokers and carriers operate in complex markets by removing operational barriers and enabling smarter, faster decision-making.

We use modern technology to solve real challenges for some of the world’s leading brokers and insurers. By automating the repetitive and structuring the complex, we help our partners unlock new opportunities for innovation and growth.

You’ll be joining a collaborative team that values curiosity, ownership, and continuous learning. We work in an environment where ideas are heard, support is built-in, and outcomes matter. Everyone here has the chance to make a tangible impact on our products, our customers, and the industry.

We've just raised $45M (£33M) in Series B funding from lead investor CommerzVentures, new investor Move Capital, as well as all existing shareholders. This investment round gives us the room to grow with confidence, continue to innovate, and ensure that Artificial remains the first choice for brokers and carriers seeking a smarter way to trade digitally.

Join us, and take the chance to be a part of something that will change the landscape of insurance for generations.

About the role

Build and maintain scalable data pipelines (batch and streaming)
Define data contracts for internal and external consumers
Own data quality and governance: monitoring, alerting, lineage, documentation
Create the core metrics layer (e.g. speed, conversion, pricing) that drives platform insights
Optimize query performance and pipeline costs as data volume grows

About you

You're fluent in Python and SQL
You've built, shipped and operated data pipelines in production (Airflow, Dagster, etc.)
You've built and maintained dbt models in production
You've worked with analytical databases (ClickHouse, Snowflake, BigQuery, DuckDB)
You care deeply about data quality
You're self-directed—you identify what to work on, not wait for tickets
You're proactive, self-directed and comfortable being part of a small, autonomous team
Bonus: you know a bit of Haskell (our core platform is written in it)

We especially want to hear from you if you have

Collaborative skills with an emphasis on product quality.
Experience in insurtech, insurance or related industries.
Strong problem-solving skills.
Experience in a distributed work environment.

Benefits

Private medical insurance
Income protection insurance
Life insurance of 4 * base salary
On-site gym and shower facilities
Enhanced maternity and paternity pay
Team social events and company parties
Salary exchange on pension and nursery fees
Access to Maji, the financial wellbeing platform
Company stock options managed through Ledgy
Milestone Birthday Bonus and a Life Events leave policy
Generous holiday allowance of 28 days plus national holidays
Home office and equipment allowance, and a company MacBook
Learning allowance and leave to attend conferences or take exams
YuLife employee benefits, including EAP and bereavement helplines
For each new hire, we plant a tree through our partnership with Ecologi Action
The best coffee machine in London, handmade in Italy and imported just for us!

We’re proud to be an equal opportunities employer and are committed to building a team that reflects the diverse communities around us. If there’s anything you need to make the hiring process more accessible, just let us know—we’re happy to make adjustments. You’re also welcome to share your preferred pronouns with us at any point.

Think you don’t meet every requirement? Please apply anyway. We value potential as much as experience, and we know that raw talent counts.

As part of our hiring process, we’ll carry out some background checks. These may include a criminal record check, reviewing your credit history, speaking with previous employers and confirming your academic qualifications.

Data Engineer