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- Tasks: Lead the development of scalable data pipelines and architectures for analytical work.
- Company: Join Brit, a forward-thinking company focused on helping businesses thrive amidst uncertainty.
- Benefits: Enjoy a diverse and inclusive environment with opportunities for growth and collaboration.
- Why this job: Shape the future of actuarial data while mentoring junior engineers and driving innovation.
- Qualifications: Strong skills in Python, SQL, and DevOps; experience with Azure is a plus.
- Other info: Work in a dynamic team that values knowledge sharing and inclusivity.
The predicted salary is between 36000 - 60000 £ per year.
We’re looking for a Senior Analytics Engineer.
At Brit, we believe that the uncertainty of the future should never stand in the way of progress. That’s why we exist. To help people and businesses face the future and thrive. We are change‑makers enabled by a global workforce who collaborate to deliver a risk service. A team empowered to help our customers not only to survive the risks they face, but to stay on the front foot and keep moving forward.
What you’ll be doing:
- As a Senior Analytics Engineer, you’ll play a pivotal role in shaping the future of our actuarial data capabilities.
- You’ll lead the development of robust, scalable data pipelines and architectures that underpin our analytical work, ensuring they’re built to last and ready to evolve.
- Working closely with the Head of Analytics Engineering, you’ll help define and deliver the team’s strategy, while also mentoring junior engineers and supporting their growth.
- You’ll bring a strong technical foundation in Python, SQL and DevOps practices, and you’ll be comfortable navigating the Azure ecosystem.
- Your work will span everything from maintaining CI/CD pipelines to developing reusable Azure modules that enhance our automation and insight delivery.
- You’ll also be a key voice in technical forums and design discussions, representing the actuarial engineering perspective and championing simplicity and effectiveness in everything we build.
- Collaboration will be at the heart of your role. You’ll work hand‑in‑hand with actuarial SMEs, product teams and fellow engineers to deliver pragmatic solutions to real business challenges.
- You’ll help foster a culture of knowledge sharing, inclusivity and innovation, ensuring our team continues to thrive and deliver value across the business.
We welcome everyone wholeheartedly. We’ve got a truly diverse, genuinely inclusive work environment. We comfortably and confidently bring our whole selves to work, because we know we’ll be respected, valued and accepted whoever we are. Our Employee Resource groups are safe spaces for people to share their experiences, aspirations and suggestions about how we do things.
Accessibility: We are located in the Leadenhall Building on Leadenhall Street (EC3V 4AB) and are situated on floors 17, 18, and 39. All of our floors are accessible by lift, and there are building staff on hand to point you in the right direction. The closest train / underground / DLR links are: Liverpool Street Station (7 mins), Bank Station (6 mins), Fenchurch Street Station (6 mins), Aldgate Station (7 mins). The nearest bus stop is St Mary Axe (Stop LR or Z), which is located just outside the building.
Senior Analytics Engineer in City of London employer: Brit Insurance
Contact Detail:
Brit Insurance Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to current employees at Brit on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your best work with Python, SQL, and Azure. This will help you stand out during interviews and demonstrate your technical prowess.
✨Tip Number 3
Practice makes perfect! Get ready for those technical interviews by brushing up on your coding skills and problem-solving techniques. Use platforms like LeetCode or HackerRank to sharpen your abilities.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team at Brit.
We think you need these skills to ace Senior Analytics Engineer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Analytics Engineer role. Highlight your technical expertise in Python, SQL, and DevOps practices, as well as any experience you have with Azure. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about analytics engineering and how your background makes you a perfect fit for Brit. Don’t forget to mention your collaborative spirit and how you can help foster a culture of knowledge sharing.
Showcase Your Projects: If you've worked on relevant projects, whether personal or professional, make sure to include them in your application. We love seeing real-world examples of your work, especially those that demonstrate your ability to build scalable data pipelines and architectures.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re genuinely interested in joining our team at Brit!
How to prepare for a job interview at Brit Insurance
✨Know Your Tech Inside Out
Make sure you brush up on your Python, SQL, and DevOps practices. Be ready to discuss how you've used these skills in past projects, especially in relation to building data pipelines and architectures. The more specific examples you can provide, the better!
✨Showcase Your Collaboration Skills
Since collaboration is key in this role, think of examples where you've worked closely with others, particularly in cross-functional teams. Be prepared to share how you’ve contributed to team success and fostered a culture of knowledge sharing.
✨Prepare for Technical Discussions
Expect to engage in technical forums and design discussions during the interview. Familiarise yourself with common challenges in analytics engineering and be ready to propose simple yet effective solutions that align with Brit's goals.
✨Embrace Inclusivity and Diversity
Brit values a diverse and inclusive environment, so be genuine about your experiences and perspectives. Think about how you can contribute to this culture and be ready to discuss how inclusivity has played a role in your previous workplaces.