Data Engineer - Publishing (m/f/d)

Reposted 2 Days Ago
2 Locations
Hybrid
Junior
Information Technology • Marketing Tech • Database
Statista - Empowering People with data
The Role
Build and maintain scalable ETL/data pipelines and orchestration for content publishing, optimize and monitor data infrastructure, automate processes, and collaborate with data and content teams.
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.

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
  • Collaborate with data sourcing and architecture teams to build and enhance our data publishing infrastructure, contributing to the evolution of existing and future products

  • Build and maintain scalable data pipelines that support Statista's content management and production processes

  • Develop reliable data orchestration workflows to ensure consistent, automated publishing processes for our content teams

  • Analyze established processes across content and data teams to identify and propose opportunities for optimization and automation

  • Contribute to monitoring and optimization efforts of our data infrastructure to maintain high availability, performance, and security

  • Stay current with developments in AI & Automation to assess and recommend relevant upgrades to our services and tools

  • Mentor junior team members and contribute to architectural decisions that shape the evolution of our data infrastructure

 
Your Profile
  • 3+ years of experience developing ETL processes and data automation workflows using Python

  • Working proficiency in workflow orchestration, containerization, and version control tools (e.g., Apache Airflow, Docker, git)

  • Strong SQL skills for data manipulation, querying, and optimization

  • Good understanding of data modeling and architecture principles, with an interest in learning and applying best practices

  • Hands-on experience with cloud services and infrastructure (e.g., AWS: ECS, EC2, RDS); familiarity with Infrastructure-as-Code concepts is a plus

  • Excellent spoken and written English skills

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

  • Develop ETL and data automation processes using Python
  • Experience with workflow orchestration tools (e.g., Apache Airflow)
  • Containerization experience (e.g., Docker)
  • Version control experience (e.g., Git)
  • Proficient in SQL for data manipulation and querying
  • Understanding of data modelling and architecture best practices
  • Some experience with cloud services and infrastructure (e.g., AWS: ECS, EC2, RDS)
  • Experience with Infrastructure-as-Code
  • Excellent spoken and written English skills
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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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