Full-Stack Engineer for Analytics & AI Platforms

Veritaz AB; Denmark; Remote; DKK 700,000 - 1,000,000; Full time

Job summary

Veritaz AB is seeking a Fullstack Engineer for Analytics Products to build modern web apps using Vue and TypeScript, and to design robust backend services with Node.js and Express. You will develop APIs and contribute to a GraphQL-based platform, working on data-driven analytics and AI/LLM features.

The role involves collaborating with analysts, data engineers, and product owners, shaping solution architecture, and driving scalability, performance, and cost efficiency on Google Cloud Platform.

Qualifications

• Experience in fullstack development with frontend and backend.
• Experience taking end-to-end ownership of software products.
• Strong TypeScript and modern JavaScript framework experience.
• Backend API design and data-driven applications.

Responsibilities

• Develop modern web apps using Vue and TypeScript.
• Build interactive frontend experiences with strong UX.
• Develop backend services with Node.js and Express and design APIs.
• Contribute to a GraphQL-based API platform and analytics data flows.
• Work with SQL and analytical databases to support data insights.
• Implement AI/LLM-driven functionality where applicable.
• Collaborate with analysts, data engineers and product owners.
• Design scalable, cost-efficient solutions and CI/CD pipelines.
• Work on Google Cloud Platform and IaC with Terraform.

Skills

End-to-end ownership

Strong problem-solving

UX focus

Analytical mindset

Team collaboration

Tools

TypeScript

Vue

Node.js

Express

GraphQL

SQL

BigQuery

DuckDB

Terraform

CI/CD

GCP

Job description

Veritaz AB is seeking a Fullstack Engineer for Analytics Products to build modern web apps using Vue and TypeScript, and to design robust backend services with Node.js and Express. You will develop APIs and contribute to a GraphQL-based platform, working on data-driven analytics and AI/LLM features.

The role involves collaborating with analysts, data engineers, and product owners, shaping solution architecture, and driving scalability, performance, and cost efficiency on Google Cloud Platform.