Senior Full-Stack Engineer Data Intelligence Applications (mfd)

At Statista were all about facts and data for we are the worlds 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 agencydesigning 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 surfacesincluding 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 / ) and server ( using Fastify Express or NestJS).

• Advanced Data Visualization: Hands-on experience building custom interactive visualizations (working with scales layouts coordinate systems directly using 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 abstractionssuch as shared API layers component libraries or design systemsconsumed 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: Bachelors or Masters 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.

Required Experience:

Senior IC