Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and build front-end interfaces for data observability and operational tooling.
- Company: Join Accelerant, a pioneering data-driven risk exchange in the insurance industry.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with excellent career advancement opportunities.
- Why this job: Make a real impact by developing tools that enhance data visibility and trustworthiness.
- Qualifications: Experience in web applications, strong front-end skills, and a passion for problem-solving.
The predicted salary is between 60000 - 80000 £ per year.
About Accelerant
Accelerant is a data-driven risk exchange connecting underwriters of specialty insurance risk with risk capital providers. Accelerant was founded in 2018 by a group of longtime insurance industry executives and technology experts who shared a vision of rebuilding the way risk is exchanged – so that it works better, for everyone. The Accelerant risk exchange does business across more than 20 different countries and 250 specialty products, and we are proud that our insurers have been awarded an AM Best A- (Excellent) rating. For more information, please visit www.accelerant.ai.
Accelerant is building a new platform that will serve as the backbone of how risk is exchanged in the future. The Data Observability team is looking for a Full Stack Software Engineer with a front-end emphasis to build and serve the internal operational tooling and data observability capabilities that power our data platform. This is a unique role: you'll be a software engineer embedded within a data analytics engineering team, working with a high degree of independence to design and deliver tooling that makes data pipelines visible, actionable, and trustworthy for stakeholders across the business.
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
- 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 employer: Accelerant Re Ltd.
Contact Detail:
Accelerant Re Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full Stack Software Engineer - Data Observability & Operational Tooling
✨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 related to data observability 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 your past projects in detail.
✨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 our team at Accelerant.
We think you need these skills to ace Full Stack Software Engineer - Data Observability & Operational Tooling
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 relevant projects that showcase your ability to build data-heavy interfaces.
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 how you've tackled similar challenges in the past and how you can contribute to our team at Accelerant.
Showcase Your Projects: If you've worked on any relevant projects, whether personal or professional, make sure to include them in your application. We love seeing real-world applications of your skills, especially those involving data visualisation and web applications.
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 gives you a chance to explore more about what we do at Accelerant!
How to prepare for a job interview at Accelerant Re Ltd.
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially TypeScript and Svelte. Brush up on your experience with data visualisation tools like D3.js or Chart.js, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex problems in your previous roles. Highlight how you approached these challenges, the solutions you implemented, and the impact they had on your team or project.
✨Communicate Effectively
Since this role involves collaboration with various stakeholders, practice explaining technical concepts in a way that non-technical audiences can understand. This will demonstrate your communication skills and ability to bridge the gap between tech and business.
✨Demonstrate Independence and Ownership
Be ready to share instances where you’ve taken the lead on projects with minimal oversight. Discuss how you managed your time, made decisions, and ensured quality in your work, as this aligns with the independent nature of the role.