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?
About 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.
Key Responsibilities
End-to-End Product Ownership: Architect, build, and maintain data intelligence applications from database query contracts down to interactive UI components.
Framework & API Layer: Build and own the shared application API layer, composing underlying platform services and published data models into stable contracts.
Data-Access & Performance Strategy: Design robust caching, materialization, pagination, and streaming patterns to serve complex analytics from cloud data warehouses with low latency and optimized compute cost.
Advanced Data Visualization: Build interactive, non-standard visualization interfaces (e.g., hospital performance benchmarking and peer comparison views) and establish reusable patterns for the broader portfolio.
AI-Mediated Interfaces: Implement natural language and LLM-driven application surfaces—including retrieval workflows, tool integration, structured outputs, streaming, and evaluation of latency and cost.
Technical Leadership: Shape application architecture, set engineering standards, drive testing discipline, and mentor joining engineers.
Qualifications
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.
Nice-to-Haves (What Will Make You Stand Out)
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.
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.
What we offer
In addition to our great team, culture, and our shared goal of empowering people with data, there are many other things that make Statista a great place to work! Join us and benefit from:
Work from abroad up to 30 calendar days a year
Hybrid work and flex-time
International team and social events
Subsidized urban mobility and access to fitness and wellness options
Free access to Langdock and all its amazing functionalities
Career & training opportunities
Attractive locations and modern offices
Mental health support with OpenUp
Some of the benefits listed here apply only to the German entity and to Junior-level roles or above.
Skills Required
- Deep production Full-Stack TypeScript experience across client (React / Next.js) and server (Node.js using Fastify, Express, or NestJS).
- Hands-on experience building custom, interactive visualizations using D3.js (and Visx, ECharts, or Vega-Lite) and choosing render targets (SVG, Canvas, WebGL).
- Strong analytical SQL skills (window functions, CTEs, multi-level aggregations) and designing materialization/caching strategies over columnar cloud data warehouses.
- Expertise in client-side state and data management: client-side caching, request coalescing, streaming, and table virtualization (e.g., TanStack Query, SWR).
- Proven track record building reusable abstractions such as shared API layers, component libraries, or design systems.
- 5+ years experience in full-stack engineering building data-dense web applications and custom interactive visualizations, with product lifecycle ownership.
- Bachelor's or Master's degree in Computer Science, Software Engineering, HCI, or related technical field.
- Fluency in English.
- Practical experience integrating LLMs into production workflows (retrieval/RAG, tool calls, streaming, evaluation).
- Experience with multi-tenant security and enterprise-grade authorization models.
- Familiarity running microservices on AWS with observability, telemetry, logging, and CI/CD.
- Healthcare or benchmarking domain knowledge (KPIs, quality metrics, hospital workflows).
- German language skills.
What We Do
Who We Are Statista believes that precise, accurate, and reliable data is the most important element needed for an organization to excel. We’re a rapidly growing international data-as-a-service organization with an IPO on the horizon. We leverage an easy-to-use online platform with a diverse and up-to-date collection of data, analytics, and information to give our partners access to an infinite number of business sectors, geographic areas, and consumers. Statista enables teams to learn from its data, assess market value, and make critical and well-informed business decisions based on truth, not opinions. Culture at Statista Founded 15 years ago in Hamburg, we have quickly developed into a global company. In our 13 office locations, we employ over 1,400 colleagues from more than 60 nationalities. In our international working environment, everyone is encouraged to contribute ideas to make Statista a special place to work. Our culture, framed by clear goals and a supporting team, paves the way for us to stay a profitable, leading player in the market. Why You Should Choose Statista · Our mission- helping companies make decisions with facts, not opinions · We put our people first forming a strong company culture grounded in our core ethics of community, integrity, communication, initiative, and accountability · Opportunities to grow and hone your sales expertise in a rapidly growing company · A diverse and international company with 13 locations worldwide, with our HQ in Hamburg,Germany · A beautiful office in NYC at 3 WTC, with the view of Hudson River, Freedom Tower, Empire State Building, Chrysler Building, and Hudson Yards · Medical, Dental, and Vision benefits · Flexible office hours/remote work as needed · Casual office attire, dog friendly, and a kitchen full of snacks and beverages
