---
title: 'Engineering Manager - Data Platform (m/f/d) at Statista'
canonical: 'https://feeny.ai/job/engineering-manager-data-platform-m-f-d-statista-hamburg-f0sawe40qp7h'
type: 'job'
last_seen: '2026-10-15'
---

# Engineering Manager - Data Platform (m/f/d) at Statista

- **Company:** Statista
- **Location:** Hamburg, Germany
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-14
- **Last confirmed live:** 2026-10-15
- **Apply:** https://jobs.ashbyhq.com/statista/d13572c5-0691-41dd-b57e-5d109cd869af

## 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?

## Your Job

As Engineering Manager, Data Platform at Statista, you’ll lead the engineers building a platform-as-a-product that helps teams manage and share trusted data. You’ll make it easier for data producers to get started while ensuring the platform is secure, reliable and cost-conscious as it grows. You’ll work closely with the Senior Platform Product Manager: they lead product vision and priorities; you lead the people, technical delivery and day-to-day operation of the platform. The role spans Snowflake-based data infrastructure and event streaming via Kafka.

## What You’ll Do

- Lead and grow the team. Lead a mixed team of DevOps, software and data engineers with shared ownership, on-call and standards. Grow people through clear expectations, regular feedback and real ownership, and hire as the platform grows.
- Run the platform as a product. Partner with the Senior Platform Product Manager, make it easy for teams to put their data on the platform: quick setup, fast reviews, clear documentation, and a say in how the platform develops. Work with data producers, Analytics Engineering and other Statista group companies as partners, not just users.
- Build trust into the platform. Guide the use of access controls, cost safeguards, audits, data contracts and metadata so teams can share data safely with people, APIs and AI-powered applications.
- Own reliable event streaming. Run Kafka as the backbone that distributes data and content across Statista: reliable, well monitored, and easy for teams to publish to and consume from.
- Set technical direction. Guide architecture and build-versus-buy decisions, review designs and pull requests, and use AI and automation where they improve the team's work. You'll stay technically engaged without being expected to code every day.

## Your Skills

- At least five years of experience leading engineering teams, ideally in data platforms, platform engineering or infrastructure. You know how to develop senior engineers and unite people with different technical backgrounds.
- A strong foundation in data or platform engineering, with the confidence to contribute to architecture discussions and design reviews. You're familiar with cloud data warehouses, ideally Snowflake, and tools or practices such as dbt and orchestration.
- Hands-on experience with infrastructure as code (IaC) using Terraform. You're comfortable with Kubernetes, CI/CD and AWS.
- Experience operating event-streaming systems such as Kafka, Amazon MSK, Confluent or Redpanda, including a schema registry.
- You understand data governance, including access models, data contracts, catalogues and lineage. You balance useful safeguards with a straightforward experience for the teams using the platform.
- You use AI tools and agentic workflows in your daily work and help your team do the same. You understand how AI agents consume data and know how to make the platform and its data assets work well for agents accessing them through MCP or A2A.

## 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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