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.

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.