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?
As a Data Engineer on our Statista R Data Platform, you’ll own data ingestion and platform reliability end-to-end: designing and operating scalable batch pipelines, hardening orchestration, ensure data quality, security, and cost efficiency. You’ll partner closely with Data Analysts, Software Developers and Data Scientists to deliver well-governed datasets tailored for the teams’ specific need and maturity to make high-quality data accessible and trustworthy for analysis.
Your role
• Develop and optimize ELTs/ ETLs to integrate new data sources and enhance data management in the data lake and other systems
• Develop reliable data orchestration workflows to ensure and support the ranking creation process of Statista R’s analyst teams.
• Drive cross-functional collaboration with engineering, data science, and analysis teams to deliver documented, reproducible datasets that power rankings, KPIs and business decisions.
• Monitor and optimize data infrastructure to ensure high availability, performance, and security
Your profile
• Bachelor’s or master’s in computer science, Data Science, Engineering, or related field.
• 2+ years in data engineering building production pipelines and platforms; including a sustained period within one organization seeing a product through build → launch → iteration
• Comfortable in developing ELT/ETL processes and data automation processes using Python and SQL
• Proficiency in workflow orchestration, containerization and version control tools (e.g. Apache Airflow, Docker or git)
• Good understanding of data modelling and architecture, with a strong interest in best practices
• Knowledge in dlt, dbt, Snowflake, infrastructure as code and software development best practices is a plus
• Hands-on experience in cloud services and infrastructure (e.g. AWS: S3, Glue, Athena, ECS, RDS)
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
- Bachelor's or master's in computer science, Data Science, Engineering, or related field
- 2+ years in data engineering building production pipelines
- Experience with ELT/ETL processes and data automation using Python and SQL
- Proficiency in workflow orchestration and version control tools
- Understanding of data modeling and architecture best practices
- Experience in cloud services and infrastructure, such as AWS
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
