Principal Data Engineer - PerfectScale by DoiT
Role details
Job location
Tech stack
Job description
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., * 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.
- Collaborate with product and engineering teams and R&D management to define the technical roadmap, review architecture and mentor junior engineers
Requirements
Do you have experience in UI?, 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., * Experience: 8+ years of backend engineering experience, with 3+ years architecting high-load systems or data pipelines in a production environment.
- Backend Stack: Deep expertise in distributed systems using modern languages (Go, Java, Rust, or Python).
- Data Systems: Strong, hands-on experience with relational and analytical databases (Postgres, ClickHouse is preferred).
- Cloud-Native: Proven experience with microservices, containers, and modern DevOps practices (Docker, Kubernetes, GitOps, CI/CD).
- Skills: Demonstrated ability to combine hands-on coding with architectural leadership, including strong debugging, benchmarking, and performance optimization skills., * 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)
Are you a Do'er? Be your truest self. Work on your terms. Make a difference.
We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally.