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- Tasks: Design and build front-end interfaces for operational tools and data visualisations.
- Company: Accelerant, a pioneering data-driven risk exchange in the insurance industry.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborate with experts across 20 countries and enhance your coding skills.
- Why this job: Join a dynamic team and make an impact in a fast-paced, innovative environment.
- Qualifications: Experience in web applications, strong front-end skills, and a passion for problem-solving.
The predicted salary is between 60000 - 80000 £ per year.
Accelerant is a data-driven risk exchange connecting underwriters of specialty insurance risk with risk capital providers. Founded in 2018 by a group of longtime insurance industry executives and technology experts, Accelerant aims to rebuild the way risk is exchanged for better outcomes.
The Accelerant risk exchange operates across more than 20 different countries and 250 specialty products, with insurers awarded an AM Best A- (Excellent) rating.
What you'll be doing:
- Designing and building front-end interfaces for internal operational tooling, including dashboards, data observability views, and stakeholder communication surfaces.
- Developing rich data visualizations that surface pipeline health, data quality metrics, and business KPIs to technical and non-technical audiences.
- Building and maintaining backend services that support operational tooling, integrating with data infrastructure such as Snowflake, dbt, and monitoring platforms.
- Collaborating closely with data engineers, analytics engineers, and business stakeholders to translate data observability requirements into intuitive, high-quality interfaces.
- Working independently as a software engineer within a data-focused team, driving technical decisions for the tooling layer while leveraging other full stack teams across the organization for guidance and support.
- Shipping iteratively, balancing speed of delivery with code quality, maintainability, and scalability.
What you bring to the table:
- Experience building and scaling web applications, with particular strength in front-end development.
- Strong understanding of modern JavaScript/TypeScript frameworks and component-based architectures.
- Comfort working with data-heavy interfaces: tables, charts, filters, and interactive visualizations.
- Ability to work independently and drive projects end-to-end with minimal oversight.
- Strong coding ability and a track record of shipping high-quality software.
- Excellent communication skills, with the ability to collaborate effectively with data engineers, product managers, and business stakeholders.
- Passionate problem-solving mindset and a strong sense of ownership.
Desired Qualifications:
- Experience with TypeScript.
- Experience with Svelte, or equivalent modern component framework (React, Vue).
- Experience building data visualization and dashboard interfaces (e.g., D3.js, Chart.js, Plotly, or similar).
- Experience with cloud platforms such as AWS.
- Familiarity with data platforms and tools such as Snowflake, dbt, or similar analytics infrastructure.
- Experience with SQL and comfort working with analytical data sets.
- Experience with Python is a plus, given the data team's tooling ecosystem.
- Experience with monitoring and observability platforms (e.g., Datadog, Grafana) is a plus.
Full Stack Software Engineer - Data Observability & Operational Tooling in London employer: Accelerant
Contact Detail:
Accelerant Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full Stack Software Engineer - Data Observability & Operational Tooling in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data visualisation and operational tooling. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your coding skills and understanding the tools mentioned in the job description. Practice common coding challenges and be ready to discuss how you've tackled similar problems in the past.
✨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 proactive about their job search!
We think you need these skills to ace Full Stack Software Engineer - Data Observability & Operational Tooling in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Full Stack Software Engineer role. Highlight your front-end development experience and any work with data visualisations, as these are key for us.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data observability and operational tooling. Share specific examples of projects you've worked on that demonstrate your problem-solving mindset and ownership.
Showcase Your Technical Skills: Don’t forget to mention your experience with JavaScript/TypeScript frameworks and any relevant tools like Snowflake or D3.js. We love seeing how you’ve used these in past projects, so be specific!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen to join our team!
How to prepare for a job interview at Accelerant
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially JavaScript/TypeScript frameworks and data visualisation tools. Brush up on your experience with Svelte or similar frameworks, as well as any cloud platforms like AWS. Being able to discuss these confidently will show that you're ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in previous projects. Think about times when you had to drive a project independently or collaborate with others to achieve a goal. This will demonstrate your ownership mindset and ability to work effectively within a team.
✨Communicate Clearly
Since you'll be working closely with data engineers and business stakeholders, practice explaining technical concepts in simple terms. Be ready to discuss how you can translate data observability requirements into user-friendly interfaces. Good communication can set you apart from other candidates.
✨Prepare Questions
Have a few thoughtful questions ready for your interviewers. Ask about their current challenges with data observability or how they envision the future of their operational tooling. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.