Senior Data Engineer | Hungary at Kpler – Budapest, Budapest

Design, develop, and maintain scalable real-time data pipelines to support analytics and operational use cases.

Own and operate cloud-based infrastructure, following a “you build it, you run it” model to ensure reliability, performance, and scalability.

Develop and manage data products, collaborating with a diverse set of stakeholders including product managers, analysts, and engineering teams.

Mentor and support other engineers, contributing to a collaborative and high-performing engineering culture.

Build a deep understanding of a complex business domain and work effectively across teams with multiple dependencies.

Own features end-to-end, from design and implementation through deployment, monitoring, and ongoing improvement.

6+ years of experience in DevOps, Data Engineering, or Software Engineering.

Strong proficiency in Java.

Experience working with streaming platforms or message queues (e.g., Kafka, Kinesis, RabbitMQ).

Solid understanding of distributed systems and associated architectural trade-offs.

Strong written and spoken English communication skills.