---
title: 'Data Engineer (m/f/d) at Statista'
canonical: 'https://feeny.ai/job/data-engineer-m-f-d-statista-hamburg-pnhsdb2psprq'
type: 'job'
last_seen: '2026-09-10'
---

# Data Engineer (m/f/d) at Statista

- **Company:** Statista
- **Location:** Hamburg, Germany
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-08-19
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.ashbyhq.com/statista/fa9658a6-2ff8-4d50-a228-6ac2ffead4a3

## 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. You’ll join our Survey and Modeled Data Tools team, part of Data Engineering within Data Production. We build the tools and platforms behind some of Statista’s core data workflows, helping analysts and researchers turn complex processes into scalable, reliable, and reusable solutions. Our work ranges from developing a shared platform for building and updating modeled market data, used by analysts across markets and industries, to creating tools and data infrastructure that support our global survey workflows. We work closely with analysts, researchers, and other engineering teams, putting our team right at the intersection of data engineering, software development, and real business use cases. You’ll work on a mix of data engineering, backend services, workflow automation, and AI-powered tooling. This means improving systems that are already used in production while also helping us design the next generation of our platform infrastructure. You’ll have the opportunity to take ownership of technical solutions from idea to production and help us make complex data workflows more automated, scalable, and maintainable. 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?

## Your Role

- Work closely with analysts, stakeholders, and engineers to design, build, and improve modeled data workflows.
- Build and maintain backend services, data pipelines, AI agents, and workflow orchestration systems.
- Standardize and consolidate fragmented workflows and standalone tools into a centralized platform.
- Support, maintain, and continuously improve production-grade internal tools and workflows.
- Contribute to platform architecture, operational reliability, and the continuous automation and optimization of analytical workflows.
- Collaborate with cross-functional teams to translate evolving business and analyst/researcher requirements into practical technical solutions.

## Your Profile

- Strong Python skills with experience in backend systems, data pipelines, workflow automation, or internal tooling
- Hands-on experience developing AI-powered applications using LLMs, AI agents, and modern AI APIs.
- Solid understanding of SQL, databases, and data modeling concepts
- Experience with Git and writing clean, maintainable, and well-structured code
- Familiarity with workflow orchestration and general data engineering concepts
- Understanding of containerization and cloud environments, such as Docker or AWS, is a plus
- Ability to thrive in a fast-evolving environment and adapt to changing technologies and business requirements.
- Structured and thoughtful approach to problem-solving with attention to maintainability and scalability
- Comfortable collaborating with analysts, engineers, and stakeholders in a cross-functional environment
- Strong communication skills and fluent English

## 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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