4 months ago
Hamburg, Germany or Berlin, GermanyMid Level
Responsibilities
- Design, implement, and maintain Python backend services for data access and distribution.
- Build and operate automated build, test, and deployment pipelines on AWS and Kubernetes.
- Design and maintain Avro and SQL data models and schemas for pipelines and services.
- Publish data to downstream consumers through a Kafka-based distribution platform and schema registry.
- Build access-layer data models in analytics environments such as Snowflake and support application access through APIs.
- Coordinate priorities, schemas, and timelines between Data and Tech divisions and upstream and downstream teams.
Requirements
- At least 3 years of experience in analytics engineering, data engineering, or a related role.
- Strong SQL skills and experience with data modeling, including dimensional modeling and star schemas.
- Hands-on experience with event streaming and message distribution, ideally Kafka, including schema management with Avro, Protobuf, or JSON Schema.
- Experience designing data contracts and schemas between upstream producers and downstream consumers.
- Experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift and modern data stack tools such as dbt.
- Openness to AI-assisted development workflows such as Claude Code or similar tools.
- Comfort working across streaming, operational, and analytical data models and building API-serving access layers.
- Interest in data governance, standards, and scalable data architecture, with strong analytical, problem-solving, communication, and organizational skills.
- Excellent English communication skills with technical and business stakeholders; German is a plus.
Benefits
- Work from abroad for up to 30 calendar days per 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.
- Career and training opportunities.
- Attractive locations and modern offices.
- Mental health support with OpenUp.
- Some benefits apply only to the German entity or to Junior-level roles and above.
Tech Stack
Categories
BackendData Engineering
About Statista
Statista builds a subscription-based business data platform that aggregates statistics, market research, and consumer insights for companies, consultants, educators, and media. It also offers custom research, data analytics products, and downloadable infographics across thousands of topics. Founded in 2007 and headquartered in Hamburg, Statista is majority-owned by Ströer Media, with additional offices in New York, London, Singapore, Tokyo, Gurugram, and Berlin.