Job
In this role, you will develop backend services in Python for data processing and distribution, build CI/CD pipelines, and manage data models and their publication via a Kafka-based platform.
Job technologies
Your role in the team
- 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.
Our expectations of you
Qualifications
- 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.
Experience
- 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).
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.
Benefits
Work-Life-Integration
Higher take-home pay
Health, fitness & fun
Topics you will work on
Job locations
About your employer
Statista is one of the leading statistics portals in the world. Multiple award-winning as an innovative, digital company provides Statista customers such as Google, Bloomberg, Forbes, Procter & Gamble or Porsche with high quality products and services from research & analysis , data intelligence , content marketing and news. With over 600 employees from 57 different countries and offices in Hamburg , New York , London , Singapore and Paris draws Statista its innovation power from internationality and diversity . The customer satisfaction is always our top priority .
- 250+ Employees
- 2007
- Digital Agency
- Hybrid, Onsite
- Internet, IT, Telecommunication
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