3 weeks ago

Principal Data Engineer - PerfectScale by DoiT

DoiT

Netherlands

3 weeks ago

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Principal Data Engineer role at DoiT focusing on PerfectScale's Kubernetes optimization platform. Responsible for designing large-scale backend services and data pipelines, technical leadership, and system architecture. Requires 8+ years backend engineering experience and deep expertise in distributed systems.

RemoteFull-timePrincipalGoJava

Principal Data Engineer - PerfectScale by DoiT

Apply

RemoteFull-timePrincipalGo

Salary

Not specified

Work Location

Netherlands, NL

Work Model

Remote: full-time remote in UK, Ireland, Estonia, Netherlands, Sweden, Israel; also open to contractors in East Europe and Portugal

Experience Required

8 years

Employment Type

Full-time

Experience Level

Principal: 8+ years backend engineering, 3+ years architecting high-load systems

Core Qualifications

Technical (Must-have)

GoJavaRustPythonPostgresClickHouseDockerKubernetesGitOpsCI/CD

Soft Skills

technical leadershipmentoringdebuggingperformance optimizationarchitectural thinkingcollaboration

Preferred Qualifications

Technical (Nice-to-have)

SparkTrinoIcebergParquetDBTAWSGCPAzure

Key Responsibilities

•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.
•Actively contribute to the codebase with high quality code.
•Lead major technical initiatives, reduce technical debt and ensure the platform meets reliability and scalability SLAs.
•Champion best engineering practices, code quality, testing and maintainability.
•Collaborate with product and engineering teams and R&D management to define the technical roadmap, review architecture and mentor junior engineers.

Principal Data EngineerKubernetescloud-nativeGodistributed systemsremoteEMEADoiTPerfectScaledata pipelines

Key Responsibilities

•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.

•Actively contribute to the codebase with high quality code.

•Lead major technical initiatives, reduce technical debt and ensure the platform meets reliability and scalability SLAs.

•Champion best engineering practices, code quality, testing and maintainability.

•Collaborate with product and engineering teams and R&D management to define the technical roadmap, review architecture and mentor junior engineers.