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N-iX is looking for a Senior Scala Software Engineer to join the Aggregates Engineering Team to help redefine how the world handles business intelligence.

Our customer is the semantic layer for modern data and AI. They bridge the gap between complex cloud data platforms—like Snowflake, Databricks, and Google BigQuery- and the business users who need consistent, AI-ready analytics.

Responsibilities:

Architect the Core Lifecycle: Design, build, and evolve the aggregate system that defines, manages, and optimizes aggregates to accelerate query performance across data platforms.
Optimize Intelligent Performance: Architect the prediction and selection logic that identifies high-value aggregates and analyze query workloads to guide placement strategies.
Scale High-Impact Systems: Improve maintenance and scheduling processes to ensure reliability and low overhead in large-scale environments, ensuring the system scales smoothly.

Requirements:

6+ years of professional software engineering experience and a BA/BS in Computer Science or a related field.
Strong programming expertise in Scala and ideally have experience with Scala worker systems like Akka or Pekko.
You can reason about complex system behavior, lifecycle state, and performance tradeoffs while maintaining a focus on production reliability.
Experience with data warehouse concepts (Snowflake, BigQuery, etc.) and containerization technologies (Docker, Kubernetes).
Excellent communication skills and are comfortable working across query planning and platform teams.
You are based in or able to work Eastern/Central European Time hours.

We offer*:

Flexible working format - remote, office-based or flexible
A competitive salary and good compensation package
Personalized career growth
Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
Active tech communities with regular knowledge sharing
Education reimbursement
Memorable anniversary presents
Corporate events and team buildings
Other location-specific benefits

not applicable for freelancers

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