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.

• 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.

• 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.

• 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.

• 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.