Data Engineer (m/f/d)

Posted 6 Days Ago
Be an Early Applicant
2 Locations
Hybrid
Entry level
Information Technology • Marketing Tech • Database
Statista - Empowering People with data
The Role
Designs, builds, and improves data workflows, backend services, AI agents, pipelines, and workflow orchestration systems. The role centralizes fragmented tools, supports production-grade internal platforms, improves reliability and automation, and translates analyst and stakeholder requirements into scalable technical solutions. Requires strong Python, SQL, data modeling, AI application, Git, and data engineering skills, with collaboration across analysts, engineers, and business stakeholders.
Summary Generated by Built In

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.

Skills Required

  • Strong Python skills and experience with 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 clean, maintainable, well-structured code
  • Familiarity with workflow orchestration and general data engineering concepts
  • Understanding of containerization and cloud environments such as Docker or AWS
  • Ability to adapt to changing technologies and business requirements
  • Structured problem-solving approach with attention to maintainability and scalability
  • Ability to collaborate with analysts, engineers, and stakeholders in a cross-functional environment
  • Strong communication skills and fluent English
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The Company
HQ: Hamburg
1,400 Employees
Year Founded: 2007

What We Do

Who We Are Statista believes that precise, accurate, and reliable data is the most important element needed for an organization to excel. We’re a rapidly growing international data-as-a-service organization with an IPO on the horizon. We leverage an easy-to-use online platform with a diverse and up-to-date collection of data, analytics, and information to give our partners access to an infinite number of business sectors, geographic areas, and consumers. Statista enables teams to learn from its data, assess market value, and make critical and well-informed business decisions based on truth, not opinions. Culture at Statista Founded 15 years ago in Hamburg, we have quickly developed into a global company. In our 13 office locations, we employ over 1,400 colleagues from more than 60 nationalities. In our international working environment, everyone is encouraged to contribute ideas to make Statista a special place to work. Our culture, framed by clear goals and a supporting team, paves the way for us to stay a profitable, leading player in the market. Why You Should Choose Statista · Our mission- helping companies make decisions with facts, not opinions · We put our people first forming a strong company culture grounded in our core ethics of community, integrity, communication, initiative, and accountability · Opportunities to grow and hone your sales expertise in a rapidly growing company · A diverse and international company with 13 locations worldwide, with our HQ in Hamburg,Germany · A beautiful office in NYC at 3 WTC, with the view of Hudson River, Freedom Tower, Empire State Building, Chrysler Building, and Hudson Yards · Medical, Dental, and Vision benefits · Flexible office hours/remote work as needed · Casual office attire, dog friendly, and a kitchen full of snacks and beverages

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