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DoiT logo
DoiT

DoiT is a global technology company that works with cloud-driven organizations to leverage the cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state - from planning to production. Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency. With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide.

Principal Data Engineer

Data EngineerData EngineerFull TimeRemoteLeadTeam 501-1,000

Location

EMEA + 4 moreAll locations: EMEA | Eastern Europe | Western Asia (Middle East) | Northern Europe | Western Europe

Posted

55 days ago

Salary

0

Seniority

Lead

Job Description

Principal Data Engineer

DoiT

Role Description 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. 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 also shaping the long-term technical direction of PerfectScale’s platform. This role combines deep technical ownership with active contribution to critical code, infrastructure, and performance-sensitive workloads. Responsibilities - System Ownership: Design, build, and deploy large-scale distributed systems and high-throughput data pipelines using Go and cloud-native technologies. - Architecture & Code: Lead system-wide architectural decisions, focusing on data flow, performance, and resilience. Actively contribute to the codebase with high quality code. - Technical Leadership: Lead major technical initiatives, reduce technical debt and ensure the platform meets the reliability and scalability SLAs. Champion best engineering practices, code quality, testing and maintainability. - Collaboration: Collaborate with product and engineering teams and R&D management to define the technical roadmap, review architecture and mentor junior engineers. Qualifications - 8+ years of backend engineering experience, with 3+ years architecting high-load systems or data pipelines in a production environment. - Deep expertise in distributed systems using modern languages (Go, Java, Rust, or Python). - 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. Bonus Points - Deep Golang expertise - Deep Kubernetes Knowledge - Experience with modern data engineering technologies: Spark, Trino, Iceberg, Parquet, ClickHouse, DBT - DBA background (relational, OLAP, columnar) - Expertise in telemetry and time series - Cloud expertise (AWS, GCP, Azure) Benefits - Unlimited PTO - Flexible Working Options - Health Insurance - Parental Leave - Employee Stock Option Plan - Home Office Allowance - Professional Development Stipend - Peer Recognition Program Company Description DoiT is a global technology company that works with cloud-driven organizations to leverage the cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state - from planning to production. Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency. With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide.

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