Data Engineer (m/f/d)

Statista; Deutschland; Hybrid; EUR 70.000 - 110.000; Vollzeit

Benefits dieser Stelle

Hybrid work

International team

Career training

Urban mobility

Wellness options

OpenUp mental health

Zusammenfassung

Statista, the world’s leading business data platform, seeks a skilled data engineer to design and improve data workflows. You will build backend services, data pipelines, AI agents, and orchestration systems, centralizing fragmented processes into a robust platform.

You’ll collaborate with analysts, engineers, and stakeholders in a cross-functional team, applying Python, SQL, and cloud tech to deliver scalable, production-grade solutions in a fast-moving environment.

Qualifikationen

• Strong Python skills in backend systems or data pipelines.
• Experience developing AI-powered applications using LLMs and AI APIs.
• Solid SQL, databases, and data modeling understanding.
• Git experience and clean code practices.
• Familiarity with workflow orchestration and data engineering basics.
• Knowledge of Docker or AWS is a plus.
• Able to thrive in fast-evolving environment.
• Strong problem-solving and cross-functional collaboration.
• Fluent English and good communication.

Aufgaben

• Design, build, and improve modeled data workflows.
• Build and maintain backend services, data pipelines, AI agents, and workflow orchestration systems.
• Standardize fragmented workflows into a centralized platform.
• Support and improve production-grade internal tools.
• Contribute to platform architecture and reliability.
• Collaborate with cross-functional teams to translate requirements into solutions.

Kenntnisse

Python backend

AI-powered apps

SQL & data modeling

Git

Workflow orchestration

Cloud environments

English fluent

Tools

Docker

AWS

AI APIs

Jobbeschreibung

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 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.