Senior Data Engineer (Scala)

Build data-intensive systems that actually scale. Own distributed processing, not just services. Shape how large-scale data flows power products. We’re looking for a Senior Scala / Data Engineer for one of our clients — a company operating in a data-heavy, distributed systems environment. This is a hands-on role for someone with a strong Scala background who has built and optimized high-performance data systems in production. This role is for someone who takes full ownership of distributed data systems — from architecture to performance. You’ll work on complex, large-scale data processing challenges where efficiency, scalability, and fault tolerance are critical. Your responsibilities will include: Build and optimize distributed data processing systems using Scala; Design and implement high-throughput, low-latency data pipelines; Work with big data frameworks (e.g., Spark) and distributed architectures; Develop and maintain scalable backend services for data-intensive workloads; Optimize performance of data processing jobs and infrastructure; Ensure fault tolerance and resilience of distributed systems; Implement monitoring, logging, and observability for data pipelines; Collaborate with engineering teams to design scalable system architectures; Contribute to cross-functional backend and data engineering efforts; Ensure high standards of code quality, performance, and reliability. What we expect from you: Strong experience with Scala in production environments; Proven experience as a Senior Data Engineer or Backend Engineer in data-heavy systems; Strong understanding of distributed systems and parallel processing; Experience with big data technologies (Spark, Kafka, etc.); Strong knowledge of JVM ecosystem and performance tuning; Experience building high-load, scalable systems; Strong system design and architectural thinking; Ability to work independently and take ownership; Strong problem-solving skills in complex, distributed environments; English level: B2+ (C1 p