Data & Analytics Engineer (m/f/d)

Arbeitgeber: Statista

## 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