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

At Statista, we’re all about facts and data, for we are the world's leading business data platform. By providing reliable and easy-to-use data as well as various data analytics products and services, we empower people worldwide to make fact-based decisions.

Founded in Hamburg in 2007, we have quickly grown into a global company with offices in major cities such as London, New York, Berlin and Tokyo. And we still have a lot of plans. Our constant growth does not only prove our success, but also keeps creating new development and career opportunities for our employees.

We value and celebrate our diverse culture. You are welcome here for who you are, no matter where you come from, what you look like, or whether you prefer bar graphs to pie charts. Your story matters – keep writing it as part of our team.

Are you ready to join us?

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.

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• 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.

• LLM & AI Application Engineering: Practical experience integrating LLMs into production workflows (retrieval/RAG, tool calls, streaming, and evaluation metrics).

• Multi-Tenant Security: Experience implementing robust, enterprise-grade authorization models where strict data segregation and confidentiality are paramount.

• Production Observability & AWS: Familiarity with running microservices on AWS, with an emphasis on telemetry, logging, CI/CD, and performance monitoring.

• 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.