Analytics Engineer (Python/Kafka)

TL;DR

Analytics Engineer (Python/Kafka): Building and operating backend services, data models, and distribution pipelines for a global business data platform with an accent on analytics engineering, event streaming, and data contracts. Focus on designing scalable access layers, coordinating schemas across Data and Tech, and delivering reliable data to applications through APIs.

Location: Hybrid position based in Hamburg or Berlin, Germany. Work from abroad is permitted for up to 30 calendar days per year.

Company

hirify.global operates a global business data platform that provides reliable data, analytics products, and data services for fact-based decision-making.

What you will do

• Design, implement, and maintain Python backend services for the data access and distribution layer.
• Build and operate automated build, test, and deployment pipelines using CI/CD and GitOps on AWS and Kubernetes.
• Design data models and schemas with Avro and SQL for data pipelines and services.
• Publish data to downstream consumers through Kafka-based distribution and schema registry systems.
• Build access-layer models in analytics environments such as Snowflake and enable application access through APIs.
• Coordinate priorities, schemas, and timelines between Data and Tech stakeholders.

Requirements

• At least 3 years of experience in analytics engineering, data engineering, or a related field.
• Strong SQL skills and experience with dimensional modeling and star schemas.
• Hands-on experience with Kafka or similar event-streaming and message-distribution systems, including schema management.
• Experience designing data contracts 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 and CI/CD.
• Excellent English communication skills are required; German is a plus.

Nice to have

• Experience with Protobuf or JSON Schema.
• Openness to AI-assisted development workflows such as Claude Code.
• Interest in data governance, standards, and scalable data architecture.

Culture & Benefits

• Hybrid work with flexible working hours.
• Work from abroad for up to 30 calendar days per year.
• International team and social events.
• Subsidized urban mobility, fitness, and wellness options.
• Career development and training opportunities, modern offices, and mental health support through OpenUp.
• Free access to Langdock and its functionalities.