Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build and maintain scalable data pipelines while ensuring data quality and governance.
- Company: Join Artificial, a pioneering tech company transforming the specialty insurance market.
- Benefits: Enjoy private medical insurance, generous holiday allowance, and stock options.
- Why this job: Make a real impact in a collaborative environment with cutting-edge technology.
- Qualifications: Fluency in Python and SQL, experience with data pipelines and analytical databases.
- Other info: Be part of a diverse team committed to innovation and continuous learning.
The predicted salary is between 28800 - 48000 £ per year.
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.
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 employer: Artificial Labs
Contact Detail:
Artificial Labs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects. This is your chance to demonstrate your expertise in Python, SQL, and any tools you've used like Airflow or dbt.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process and problem-solving skills, especially around data quality and governance.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team at Artificial.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with Python, SQL, and data pipelines. We want to see how your skills align with our mission at Artificial!
Show Your Curiosity: In your application, let us know about your passion for continuous learning and problem-solving. We love candidates who are proactive and eager to tackle challenges head-on!
Highlight Collaboration Skills: Since we value teamwork, share examples of how you've worked collaboratively in the past. Show us how you contribute to a positive team environment and ensure product quality.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and get the ball rolling on your journey with Artificial.
How to prepare for a job interview at Artificial Labs
✨Know Your Data Tools
Make sure you’re well-versed in the data tools mentioned in the job description, like Python, SQL, and dbt. Brush up on your experience with data pipelines and analytical databases, as you’ll likely be asked to discuss specific projects where you’ve used these technologies.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex data challenges in the past. Think about situations where you improved data quality or optimised query performance, as this will demonstrate your ability to contribute to their mission of smarter decision-making.
✨Emphasise Collaboration
Since the role involves working within a collaborative team, be ready to discuss how you’ve worked with others in previous roles. Highlight any experiences where you contributed to product quality or supported team members, as this aligns with their values of curiosity and ownership.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s technology and future projects. This shows your genuine interest in the role and helps you understand how you can make a tangible impact. Consider asking about their approach to data governance or how they envision the evolution of their data pipelines.
