Senior Full-Stack Engineer - Data Intelligence Applications (m/f/d)

Statista, Hamburg or Berlin

The role

You will own and build the customer-facing layer of our platform: a portfolio of data intelligence products for hospitals, as well as the shared application framework beneath them.

As the senior technical lead for this area, you will operate with high agency—designing how data is queried, cached, and visualized, building API layers over platform services, and working directly with domain experts to translate complex methodology into intuitive, high-impact products.

What you need

Core Requirements (Must-Haves)

Full-Stack TypeScript: Deep production experience across both client (React / Next.js) and server (Node.js using Fastify, Express, or NestJS).
Advanced Data Visualization: Hands-on experience building custom, interactive visualizations (working with scales, layouts, coordinate systems directly using D3.js alongside Visx, ECharts, or Vega-Lite) and choosing appropriate render targets (SVG, Canvas, WebGL).
Analytical SQL & Warehouse Caching: Strong analytical SQL skills (window functions, CTEs, multi-level aggregations) and practical experience designing materialization/caching strategies over columnar cloud warehouses.
Client-Side State & Data Management: Expertise with client-side caching, request coalescing, streaming, and table virtualization (e.g., TanStack Query, SWR).
Architecture & Abstraction: Proven track record of building reusable abstractions—such as shared API layers, component libraries, or design systems—consumed by other engineers.

Your Profile

Degree: Bachelor's or Master's in Computer Science, Software Engineering, Human-Computer Interaction (HCI), or a related technical field.
Experience: 5+ years in full-stack software engineering building data-dense web applications, custom interactive visualizations, and customer-facing products; including a sustained period within one organization seeing a product through build → launch → iteration.
Domain Knowledge: Healthcare or benchmarking domain experience is a plus (basic understanding of healthcare KPIs, quality metrics, or benchmarking concepts; familiarity with hospital decision-making, performance reporting, or medical data workflows is especially valuable).
Mindset: Strong product-focused and UX-driven mindset, with a proven ability to translate complex analytical data models and methodology into intuitive, high-performance visual interfaces.
Languages: Fluent in English, German is a plus.
Working Style: Highly structured, user-empathetic, and motivated to collaborate closely with methodology experts, consultants, and cross-functional engineers in an international environment.

Senior Full-Stack Engineer - Data Intelligence Applications (m/f/d)

The role

Senior Full-Stack Engineer - Data Intelligence Applications (m/f/d)

The role

What you will do

What you need

Core Requirements (Must-Haves)

Your Profile

Nice to have

Pay and benefits

About Statista

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Statista