Principal Data Engineer - PerfectScale by DoiT

Remote Ireland

Our Principal Data Engineer will be an integral part of our Engineering teams in EMEA. This role is based remotely as a full-time employee in the UK, Ireland, Estonia, the Netherlands, Sweden, and Israel. We are also open to contractors in East Europe and Portugal.

DoiT offers PerfectScale, a pioneering Kubernetes optimization and management solution that empowers DevOps, SRE, and Platform Engineering teams to optimize cloud performance while minimizing costs. We combine advanced AI technology with SME-human expertise to help organizations achieve peak Kubernetes efficiency.

The solution delivers a seamless onboarding experience, an intuitive UI, and a powerful autonomous optimization engine that ensures Kubernetes environments run efficiently with minimal human intervention.

As a Principal Data Engineer you will be both a hands-on contributor and a key architectural leader. You will design and build large-scale backend services and high-throughput data pipelines while shaping the long-term technical direction of PerfectScale’s platform.

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• Design, build, and deploy large-scale distributed systems and high-throughput data pipelines using Go and cloud-native technologies.
  
• Lead system-wide architectural decisions, focusing on data flow, performance, and resilience.
  
• Lead major technical initiatives, reduce technical debt and ensure the platform meets reliability and scalability SLAs.
  
• Collaborate with product and engineering teams and R&D management to define the technical roadmap, review architecture and mentor junior engineers.
  

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• 8+ years of backend engineering experience, with 3+ years architecting high-load systems or data pipelines in a production environment.
  
• Strong, hands-on experience with relational and analytical databases (Postgres, ClickHouse is preferred).
  
• Proven experience with microservices, containers, and modern DevOps practices (Docker, Kubernetes, GitOps, CI/CD).
  
• Demonstrated ability to combine hands-on coding with architectural leadership, including strong debugging, benchmarking, and performance optimization skills.
  

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• Experience with modern data engineering technologies: Spark, Trino, Iceberg, Parquet, ClickHouse, DBT.
  
• DBA background (relational, OLAP, columnar).
  
• Expertise in telemetry and time series.
  

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• Unlimited PTO
  
• Flexible Working Options
  
• Health Insurance
  
• Employee Stock Option Plan
  
• Professional Development Stipend
  

DoiT unites as Many Do'ers, One Team, where diversity is more than a goal—it's our strength. We actively cultivate an inclusive, equitable workplace, recognizing that each unique perspective enhances our innovation. xcfaprz By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success.