Founding Engineer (Platform)

Terminal; Deutschland; Remote; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading data infrastructure company in Germany seeks a skilled engineer to build and optimize a data platform that powers its API. You'll work on data streaming, storage, and analytics, tackling challenges using Java and Node.js. Ideal candidates will have experience in data engineering, enjoy complex problem-solving, and be passionate about developing high-impact systems in a fast-paced environment.

Qualifikationen

• Strong foundation in software development.
• Experience with large-scale data architectures.
• Ability to write clean, maintainable code.

Aufgaben

• Enhance data replication, storage, enrichment, and reporting.
• Build efficient streaming and batch data pipelines.
• Design scalable storage solutions for terabyte data.
• Develop real-time data systems for growing data volumes.
• Implement distributed tracing for improved monitoring.
• Shape architectural decisions for scalability and reliability.

Kenntnisse

Data streaming

Data storage

Backend engineering

Java

Node.js

Tools

Iceberg

Flink

Jobbeschreibung

We’re looking for an engineer who thrives on building scalable data platforms and enjoys tackling complex backend challenges. This isn’t just a data engineering role—you’ll be designing and optimizing the data platform that powers Terminal’s API, managing everything from data streaming and storage to analytics features at terabyte scale and beyond.

You should be comfortable navigating both data and backend engineering, with a solid foundation in software development. You’ll work with advanced data architectures, including Iceberg, and Flink, tackling large-scale challenges and contributing to core product development using Java and Node.js. If you’re excited by the opportunity to shape a high-impact platform and tackle diverse engineering problems, we’d love to hear from you.

What you will do:

• Own projects aimed at enhancing data replication, storage, enrichment, and reporting capabilities.

• Build and optimize efficient streaming and batch data pipelines that support our core product and API.

• Design scalable storage solutions for handling terabytes of IoT and time-series data.

• Develop and maintain real-time data systems to ingest growing data volumes.

• Implement distributed tracing and observability patterns to improve monitoring and troubleshooting.

• Write clean, maintainable code in Java and at times Node.js for various platform components.

• Shape architectural decisions to ensure scalability and reliability throughout the data platform.