---
title: 'Senior Backend Engineer - Scoring & Computation Engine (m/f/d) at Statista'
canonical: 'https://feeny.ai/job/senior-backend-engineer-scoring-computation-engine-m-f-d-statista-hamburg-rhr007bfgyar'
type: 'job'
last_seen: '2026-09-10'
---

# Senior Backend Engineer - Scoring & Computation Engine (m/f/d) at Statista

- **Company:** Statista
- **Location:** Hamburg, Germany
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-08-06
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/statista/8b84fe09-4aac-4d5f-89c1-04ecae9d1d39

## Job description

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 build the core engine that powers our rankings and benchmarks for hospitals worldwide: a versioned, fully reproducible computation layer that transforms harmonized metrics into comparable scores. The focus of this role is algorithmic computation, mathematical correctness, and system reproducibility—web application development is a limited aspect of this system. As the senior technical owner for this area, you will design how scoring definitions, formula trees, category mappings, and peer-group logic are modeled as data and executed deterministically over time.

## Key Responsibilities

- Engine Architecture: Design and build the core scoring engine—a typed, versioned computation graph (DAG) executed deterministically with clear boundary contracts.
- Methodology as Data: Model complex business logic (formula trees, categorical mappings, peer selection, and comparability adjustments) as versioned, declarative data structures.
- Determinism & Lineage: Own system lineage, versioning, and execution auditability end-to-end, ensuring any score can be recalculated identically at any future date.
- Internal Tools & API Layer: Build clean, typed services and contracts for our internal methodology workbench and downstream consumer applications.
- Testing & Quality Discipline: Establish rigorous testing practices (e.g., golden file testing, property-based testing, regression validation) to prevent calculation drift.
- Technical Ownership: Shape architecture, drive trade-offs between execution speed and cost, set code review standards, and mentor joining engineers.

## Qualifications

Core Requirements (Must-Haves)

- Graph Algorithms & Engine Concepts: Deep expertise in modeling and evaluating expression trees and dependency graphs (e.g., ASTs, DAGs, cycle detection, topological sorting, memoization, and selective recomputation).
- Advanced Python & Typing Discipline: Mastery of modern Python with strict typing (mypy/pyright), explicit testing discipline, and clean packaging practices.
- Deterministic System Design: Proven experience building auditable, reproducible systems using immutable execution records, versioned schemas, and explicit data lineage tracking.
- Declarative Logic & Domain Modeling: Experience treating business logic as versioned data (e.g., typed schemas, expression trees, rules engines, or domain-specific configurations).
- Typed API & Schema Design: Demonstrated ability to design, version, and operate production backend contracts and schemas for upstream workflow engines and downstream applications.

Nice-to-Haves (What Will Make You Stand Out)

- Web Frameworks & Orchestration: Production experience with FastAPI (or similar async frameworks) and workflow tools (e.g., Dagster, Prefect, or Airflow).
- Performance Profiling: Practical experience analyzing execution memory footprints, CPU profiles, or query efficiency against columnar data warehouses.
- Cloud Infrastructure: Familiarity with deploying, monitoring, and operating containerized calculation microservices on AWS.

## Your Profile

- Degree: Bachelor's or Master's in Computer Science, Software Engineering, Applied Mathematics, or a related quantitative field.
- Experience: 5+ years in backend software engineering building computation engines, rules platforms, or complex data-intensive backend systems; including a sustained period within one organization seeing a core system 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 rating systems, medical classification, or complex scoring methodologies is especially valuable).
- Mindset: Strong analytical and mathematical mindset, with a proven ability to translate complex domain logic and formulas into clean, deterministic software abstractions.
- Languages: Fluent in English, German is a plus.
- Working Style: Highly structured, detail-oriented, and motivated to collaborate closely with methodology experts, analysts, 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.

## About Statista

## Company Overview
- **One-liner**: Statista is a global data-as-a-service company that provides statistics, reports, and insights across 170 industries to empower fact‑based decision‑making.
- **Entity Type**: Private (bootstrapped; no public funding rounds disclosed)
- **Headquarters**: Hamburg, Germany
- **Founded**: 2007
- **Founders**: Not publicly available

## Core Business
- Primary industry: Data as a Service (DaaS), Market Research, Business Intelligence
- Target customers: B2B (enterprise, SMB), B2C (researchers, journalists, students), and public sector
- Mission: “Empowering people with data” and creating a more transparent, reliable, and trustworthy data economy.

## Products & Services
- **Statista Platform**: Web‑based access to a repository of over 1 million statistics, reports, and infographics on 80,000+ topics.
- **Statista Connect**: API‑first service for integrating Statista’s trusted data directly into existing tools and workflows.
- **Research AI**: AI‑powered research assistant that combines large language models with Statista’s data depth for efficient, fact‑based analysis.
- **Statista Healthcare**: Rankings and benchmarks for hospitals and medical specialists to drive quality and transformation in healthcare.
- **Statista SynthiePop**: Synthetic population data for Germany, built from human‑verified sources, enabling anonymous demographic analysis.
- **Statista R**: Rankings, awards, and ratings that recognize industry leaders and innovation.
- **Market Insights**: Market sizes, forecasts, and indicators for up to 152 countries and territories.
- **Consumer Insights**: Survey‑based data covering 1.7 million consumers across 56 countries, tracking behavior and brand perceptions.
- **Consulting Services**: Tailored solutions combining market research, data science, strategy, and marketing communications.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: ~1,200 employees worldwide; 7 offices on 3 continents
- **Notable Investors/Partners**: Not publicly listed (no disclosed external investors)
- **Growth Signals**: New office opened in Tokyo in 2021, London in 2022; continued geographic expansion; launch of AI‑powered products (Research AI, Statista SynthiePop); headcount stable at ~1,200 with active hiring across multiple departments.

## Competitive Advantages
- Vast, curated dataset (50,000+ sources, 80,000+ topics, 170 industries) that is both broad and deep.
- API‑first architecture (Statista Connect) enabling seamless integration into client workflows.
- Strong AI culture and internal tooling (Langdock, proprietary AI assistants) used to boost productivity.
- Trusted brand with high security standards (SSL encryption, Stripe payment processing, GDPR compliance).
- Multi‑modal offering: from raw data to rankings, insights, and consulting.

## Strategic Focus
- Deepening AI integration across all products (Research AI, AI‑assisted content creation).
- Expanding data‑as‑a‑service capabilities via API and embedded analytics.
- Growing healthcare vertical with hospital rankings and provider analytics.
- Developing synthetic data solutions to address privacy‑sensitive research.
- Maintaining a flat, fast‑moving organizational culture that encourages learning‑by‑doing.

## Why Work Here
- **Culture**: Flat hierarchies, open mindset, and a “learning‑by‑doing” approach. Diverse team of 50+ nationalities; English is the company language. Inclusion communities like Women@Statista and Pride Group.
- **Hybrid Policy**: 3 days in office, 2 days remote (depending on location); up to 30 days of remote work per year from within the EU.
- **Career Growth**: Annual performance reviews, internal mobility, in‑house trainings, and AI skill‑building programs.
- **Wellness**: Mental health support via OpenUp, sports partnerships at some offices, and public transportation subsidies.
- **Perks**: Modern central offices, employee discounts, no cover letter required, transparent 3–5 round interview process. AI tools are allowed to support applications but never used for final hiring decisions.

## Sources
1. [Statista Careers](https://www.statista.com/business/jobs)
2. [Working at Statista](https://statista.com/working-at-statista/)
3. [About Us: The Company Behind the Data](https://www.statista.com/business/about-us)
4. [Statista Jobs on Ashby](https://jobs.ashbyhq.com/statista)
5. [Statista LinkedIn](https://www.linkedin.com/company/statista)

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