Staff Data Engineer

TL;DR

Staff Data Engineer: Leading the design, development, and operation of a cloud-native data platform on AWS with an accent on scalable data services, APIs, and pipelines. Focus on shaping Kubernetes-based infrastructure and engineering standards.

Location: Berlin, Germany. Up to 20% mobile work within Germany and the option to work from abroad.

Company

hirify.global, part of Axel Springer SE, is a digital advertising partner for offline businesses and the leading "Drive to Store" partner in Germany and France.

What you will do

• Architect and operate scalable data platforms using AWS services.
• Design, build, and maintain batch and real-time data pipelines.
• Develop and deploy containerized data services and APIs on Kubernetes (EKS), including CI/CD integration.
• Manage and optimize Kubernetes workloads, ensuring high standards for data quality, reliability, security, and governance.
• Collaborate with systems engineers, ML engineers, and analytics teams to deliver end-to-end data solutions.
• Lead technical decision-making, set best practices, and mentor engineers across teams.

Requirements

• Extensive experience in data engineering and backend/platform engineering.
• Strong expertise in Python, Java, SQL, and AWS ecosystem.
• Hands-on experience with Kubernetes (EKS), containerization (Docker), distributed event streaming frameworks (Kafka), and microservices architecture.
• Experience deploying and managing APIs and services in Kubernetes environments.
• Solid understanding of CI/CD pipelines and infrastructure as code.

Culture & Benefits

• Strong support for professional development and a feedback culture.
• Free access to a mental health app and partial coverage of Urban Sports Club subscription.
• Opportunity to engage in projects that promote sustainability and environmental development.
• 28 days of holiday, with an extra day for each calendar year (up to 30 days).
• Visa sponsorship for candidates from outside of Germany.