Data & Analytics Engineer (m/f/d)

Statista Inc.; Germany (OH); On-site; USD 100,000 - 160,000; Full time

Benefits offered by this job

Hybrid work & flex-time

International team

Social events

Career & training opportunities

Mental health support

Job summary

Statista Inc. is seeking an analytics engineer to design, implement, and maintain backend Python services powering data access and distribution.

You will build automated CI/CD pipelines on AWS and Kubernetes and craft data models to support downstream consumers via a Kafka-based platform and schema registry. Responsibilities include developing data contracts, modeling schemas for analytics and API access, and coordinating with Data and Tech teams to align priorities and timelines across upstream

Qualifications

• 3+ years of experience in analytics engineering, data engineering, or a related role.
• Strong SQL skills and data modeling (dimensional modeling, star schemas).
• Hands-on experience with event streaming and message distribution, especially Kafka, including schema management.

Responsibilities

• Design, implement, and maintain backend Python services powering data access and distribution.
• Build and operate CI/CD pipelines on AWS and Kubernetes.
• Design data models for pipelines and publish to downstream consumers via Kafka and schema registry.
• Create data models in analytics environment (e.g., Snowflake) and expose data via API.
• Coordinate between Data and Tech divisions to align priorities and timelines.

Skills

SQL

Analytics engineering

Data modeling

English communication

Problem solving

Tools

Kafka

Kafka schema registry

Snowflake

BigQuery

Redshift

dbt

CI/CD

AWS

Kubernetes

Job description

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.