Full Stack Engineer

Full Stack Software Engineer – Data Observability & Operational Tooling

Location: Germany & Belgium & UK Only

Brief Summary

Annapurna Recruitment is working with a leading data-driven risk exchange platform operating globally across specialty insurance markets. The business is building a next-generation platform that redefines how risk is exchanged, with a strong focus on data, transparency, and operational excellence. They are now seeking a Full Stack Software Engineer with a strong front-end bias to join their Data Observability team and help shape internal tooling and data visibility capabilities across the organisation.

What to Expect

The successful candidate will join a highly autonomous engineering environment embedded within a data analytics engineering function. They will be responsible for designing and building internal operational tooling that makes data pipelines transparent, actionable, and trustworthy across the business.

This includes developing intuitive front-end interfaces, dashboards, and data visualisations that communicate pipeline health, data quality, and key business metrics to both technical and non-technical stakeholders. The role also involves contributing to backend services that integrate with modern data infrastructure such as Snowflake, dbt, and observability platforms.

Working closely with data engineers, analytics engineers, and business stakeholders, the engineer will translate complex data observability requirements into scalable, user-friendly tools. The role requires a strong sense of ownership, with the ability to operate independently while contributing to broader engineering standards and practices.

Job Requirements

The ideal candidate will bring:

• Strong experience building and scaling web applications, with a focus on front-end development
• Proficiency in modern JavaScript/TypeScript frameworks and component-based architecture
• Experience working with data-heavy interfaces, including dashboards, tables, filters, and visualisations
• Ability to work independently and deliver end-to-end features with minimal oversight
• Strong software engineering fundamentals and a proven track record of shipping production-quality code
• Excellent communication skills and ability to collaborate cross-functionally with technical and non-technical teams
• A proactive, problem-solving mindset with strong ownership of deliverables

Desirable experience includes:

• TypeScript
• Modern frameworks such as Svelte, React, or Vue
• Data visualisation tools such as D3.js, Chart.js, or Plotly
• Cloud platforms such as AWS
• Data tools including Snowflake, dbt, or similar
• SQL and analytical datasets
• Python (beneficial within the wider data ecosystem)
• Observability tools such as Datadog or Grafana