Data & Analytics Engineer (m/f/d)

The role

You will design, implement, and maintain Python backend services for data access and distribution. You will also build automated pipelines on AWS and Kubernetes and design data models for analytics environments.

What you will do

• Design, implement, and maintain backend services in Python
• Build and operate automated build, test, and deployment pipelines using CI/CD and GitOps on AWS and Kubernetes
• Design and maintain data models and schemas for data pipelines and services
• Publish schemas to downstream consumers via Kafka-based distribution platform and schema registry
• Build access-layer data models in analytics environments like Snowflake
• Act as the coordination interface between Data and Tech divisions

Required qualifications

• 3+ years of experience in analytics engineering, data engineering, or a related role
• Strong SQL skills
• 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
• 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

Nice to have

• German is a plus

Benefits

• 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

About the company

Statista is the world's leading business data platform. Founded in Hamburg in 2007, it is a global company with offices in major cities.