---
title: 'Data Engineer - Tracking Infrastructure (m/f/d) at Statista'
canonical: 'https://feeny.ai/job/data-engineer-tracking-infrastructure-m-f-d-statista-hamburg-sxbfjf1xwhb5'
type: 'job'
last_seen: '2026-09-09'
---

# Data Engineer - Tracking Infrastructure (m/f/d) at Statista

- **Company:** Statista
- **Location:** Hamburg, Germany
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-08-27
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/statista/5309604f-9430-4477-aee5-dd17e2f983fb/application

**Skills:** Python, SQL, AWS, Airflow, Prefect, APIs, Snowflake, Terraform, GitHub Actions, Data Pipelines, Data Architecture, Testing, DBT, Streaming Tools, BI Tools

> The Data Engineer will own and operate tracking data infrastructure, ensuring data reliability, cost-efficiency, and accessibility for analytics teams. This role involves building and optimizing ELT pipelines using Python and SQL, managing data ingestion orchestration, and collaborating with engineering and analytic...

## 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

Join a growing data team and take ownership of our tracking data infrastructure, which captures millions of user events across our web platform every day. You will focus on operating, improving, and scaling existing data systems, ensuring data is reliable, cost-efficient, and accessible for analytics teams. This is a hands-on role with strong ownership and visibility across engineering and analytics.

## What you’ll do

- Own and manage tracking data pipelines and infrastructure (event data, web tracking)
- Ensure data quality, governance, and cost control (e.g. retention, storage optimization)
- Build and optimize ELT pipelines using Python and SQL
- Improve data ingestion and orchestration (Airflow, Prefect, APIs, S3, Iceberg, databases)
- Support the shift toward streaming and modern analytics use cases
- Collaborate with engineering teams (data producers) and analytics teams (data consumers)
- Enable internal users by making data reliable, well-documented, and easy to use

## Your profile

- Experience in data engineering within cloud environments (AWS preferred)
- Strong skills in Python and SQL
- Hands-on experience with data pipelines, orchestration tools (Airflow, Prefect), and APIs
- Familiarity with large-scale data systems and event-based data (tracking, logs, or similar)
- Experience with Snowflake (or similar DWH)
- Knowledge of infrastructure as code (Terraform) and CI/CD (GitHub Actions)
- Understanding of data architecture, testing, and best practices
- Bonus: experience with DBT, streaming tools, or BI tools

What success looks like

- You take ownership of a high-volume data domain and keep it stable and scalable
- You improve data reliability, usability, and cost efficiency
- You collaborate effectively with both technical and non-technical stakeholders
- You bring structure to evolving systems while staying flexible in a dynamic 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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