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
Design, implement, and maintain backend services in Python that power our data access and distribution layer
Build and operate automated build, test, and deployment pipelines following CI/CD and GitOps practices, running on AWS and Kubernetes
Design and maintain data models and schemas (Avro, SQL) for our data pipelines and services, and publish them to downstream consumers via our Kafka-based distribution platform and schema registry
Build access-layer data models in our analytics environment (e.g., Snowflake) so applications can work with the data directly, including via API
Act as the coordination interface between the Data and Tech divisions, aligning priorities, schemas, and timelines across upstream and downstream teams
Your profile
3+ years of experience in analytics engineering, data engineering, or a related role.
Strong SQL skills and solid experience in data modeling (e.g., dimensional modeling, star schemas).
Hands-on experience with event streaming and message distribution, ideally Kafka, including schema management with the Kafka schema registry (Avro, Protobuf, or JSON Schema).
Experience designing data contracts and schemas between upstream producers and downstream consumers.
Experience with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift) and modern data stack tools (e.g., dbt, CI/CD).
Openness to AI-assisted development workflows (e.g., Claude Code or similar).
Comfort working at the boundary of streaming/operational data and analytical data models, and building access layers that serve applications via API.
Strong attention to detail with a quality-focused and structured working style.
Interest in data governance, standards, and scalable data architecture.
Analytical mindset with strong problem-solving skills.
Excellent communication skills in English (German is a plus), with both technical and business stakeholders, combined with a solid understanding of business requirements and contexts.
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
- 3+ years of experience in analytics engineering, data engineering, or a related role
- Strong SQL skills and experience in data modeling (dimensional modeling, star schemas)
- Hands-on experience with event streaming and message distribution and schema management
- Experience with Kafka and Kafka Schema Registry
- Experience designing data contracts and schemas between producers and consumers
- Experience with cloud data warehouses (Snowflake, BigQuery, Redshift) and modern data stack tools (dbt, CI/CD)
- Experience building backend services in Python
- Experience operating CI/CD and GitOps pipelines on AWS and Kubernetes
- Ability to build access-layer data models and expose data via APIs
- Excellent communication skills in English
- German language skills
- Openness to AI-assisted development workflows (e.g., Claude Code)
- Interest in data governance, standards, and scalable data architecture
- Strong attention to detail and structured, quality-focused working style
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
