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- 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: Enjoy competitive salary, health benefits, and opportunities for remote work.
- Other info: Work independently in a dynamic team with excellent career growth potential.
- Why this job: Make a real impact by developing tools that enhance data visibility and trustworthiness.
- Qualifications: Experience in web applications, especially front-end development, and strong coding skills.
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. 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 countries and 250 specialty products, with insurers awarded an AM Best A- (Excellent) rating.
The Data Observability team is looking for a Full Stack Software Engineer with a front-end emphasis to build and serve internal operational tooling and data observability capabilities that power our data platform. This role involves being a software engineer embedded within a data analytics engineering team, working independently 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 in London 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 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 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 technical questions and be ready to discuss how you've tackled similar challenges 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 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 in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with front-end development and any relevant technologies like TypeScript or Svelte. We want to see how your skills align with what we're looking for, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for this role. Mention specific projects where you've built data-heavy interfaces or collaborated with data teams. This shows us you’re genuinely interested in the position.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to describe your experiences and achievements. We appreciate a well-structured application that’s easy to read!
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 ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Accelerant Re Ltd.
✨Know Your Tech Stack
Make sure you’re familiar with the technologies mentioned in the job description, like TypeScript, Svelte, and data visualisation tools. Brush up on your knowledge of cloud platforms like AWS and analytics tools such as Snowflake. Being able to discuss these confidently will show that you're ready to hit the ground running.
✨Showcase Your Projects
Prepare to talk about specific projects where you've built web applications or data-heavy interfaces. Highlight your role, the challenges you faced, and how you overcame them. This will demonstrate your problem-solving skills and ability to work independently, which are key for this role.
✨Communicate Clearly
Since you'll be collaborating with various stakeholders, practice explaining complex technical concepts in simple terms. Think about how you would describe your past work to someone without a technical background. Good communication can set you apart from other candidates.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current projects, the company’s vision for data observability, and how they measure success. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.