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 preferred); - Availability to work in EU timezone. Nice to have: - Experience with functional programming paradigms; - Experience with cloud infrastructure (AWS / GCP); - Experience with stream processing frameworks (Flink, Akka Streams); - Background in low-latency or real-time systems; - Experience in niche or hard-to-hire tech domains. We offer: - Six-month full-time contract engagement; - Remote work with overlap in US business hours; - High-impact project with direct influence on production AI systems; - Close collaboration with client’s product and engineering teams; - Opportunity to build core infrastructure for real-world AI applications — not prototypes.

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