Software Dev Engineer - Big Data Processing, S3 - Data and Analytics (Big Data)

Location: Berlin, Germany

Company

hirify.global develops large-scale technology products and services used by millions of customers, sellers, and products worldwide.

What you will do

• Design, build, and operate innovative products and services in collaboration with cross-disciplinary teams.
• Develop scalable solutions using cloud-native architectures and microservices in distributed computing environments.
• Build and maintain resilient, fault-tolerant, scalable, and cost-effective distributed systems.
• Contribute to GenAI and AI-powered tools that improve development productivity.
• Participate in code reviews, technical documentation, CI/CD practices, monitoring, troubleshooting, and on-call operations.
• Write clean, maintainable code using software engineering best practices and design patterns.

Requirements

• Currently enrolled in or graduated from a Bachelor's or graduate degree program in Computer Science, Computer Engineering, Data Science, Information Systems, or a related STEM field.
• Expected graduation between October 2025 and September 2026, or graduation within the last 24 months.
• Experience with at least one general-purpose programming language, such as Java, Python, C++, C#, Go, Rust, or TypeScript.
• Experience with big data processing, data warehousing, or data lakes.
• Experience with data structures, basic algorithm development, or object-oriented design principles.
• Strong problem-solving, analytical, communication, learning, and adaptation skills.

Nice to have

• Technical internship or relevant project experience.
• Experience with AI development tools, cloud platforms such as AWS, SQL or NoSQL databases, open-source projects, version control, or complex-system debugging.
• Basic understanding of the software development lifecycle.

Culture & Benefits

• Ownership of the full code lifecycle from design through deployment and ongoing operations.
• Learning and mentorship in a collaborative engineering environment.
• Agile development with delivery cycles measured in weeks.
• Exposure to meaningful technical challenges affecting millions of customers worldwide.